CN111282848B - Biological tissue screening method and biological tissue screening device - Google Patents
Biological tissue screening method and biological tissue screening device Download PDFInfo
- Publication number
- CN111282848B CN111282848B CN202010175939.7A CN202010175939A CN111282848B CN 111282848 B CN111282848 B CN 111282848B CN 202010175939 A CN202010175939 A CN 202010175939A CN 111282848 B CN111282848 B CN 111282848B
- Authority
- CN
- China
- Prior art keywords
- biological tissue
- information
- area
- module
- qualified
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000012216 screening Methods 0.000 title claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 103
- 238000012545 processing Methods 0.000 claims abstract description 102
- 238000012360 testing method Methods 0.000 claims abstract description 95
- 238000003860 storage Methods 0.000 claims abstract description 34
- 238000003698 laser cutting Methods 0.000 claims abstract description 24
- 230000001678 irradiating effect Effects 0.000 claims abstract description 10
- 238000005520 cutting process Methods 0.000 claims description 73
- 239000002699 waste material Substances 0.000 claims description 27
- 239000000835 fiber Substances 0.000 claims description 23
- 238000012546 transfer Methods 0.000 claims description 18
- 238000012795 verification Methods 0.000 claims description 15
- 239000003086 colorant Substances 0.000 claims description 8
- 239000012535 impurity Substances 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 7
- 210000001519 tissue Anatomy 0.000 description 310
- 210000003516 pericardium Anatomy 0.000 description 44
- 241000283690 Bos taurus Species 0.000 description 19
- 210000001765 aortic valve Anatomy 0.000 description 17
- 210000004115 mitral valve Anatomy 0.000 description 16
- 210000000591 tricuspid valve Anatomy 0.000 description 12
- 230000008569 process Effects 0.000 description 10
- 210000002216 heart Anatomy 0.000 description 8
- 210000003102 pulmonary valve Anatomy 0.000 description 5
- 238000013507 mapping Methods 0.000 description 4
- 230000010100 anticoagulation Effects 0.000 description 3
- 238000011109 contamination Methods 0.000 description 3
- 238000012797 qualification Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000002457 bidirectional effect Effects 0.000 description 2
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 230000017531 blood circulation Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 210000003709 heart valve Anatomy 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- 230000000704 physical effect Effects 0.000 description 2
- 210000001147 pulmonary artery Anatomy 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 230000037303 wrinkles Effects 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 208000006011 Stroke Diseases 0.000 description 1
- 208000007536 Thrombosis Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 208000015294 blood coagulation disease Diseases 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000002308 calcification Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000002490 cerebral effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 210000001951 dura mater Anatomy 0.000 description 1
- 208000019622 heart disease Diseases 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 210000003041 ligament Anatomy 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000007873 sieving Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 210000003491 skin Anatomy 0.000 description 1
- 210000000813 small intestine Anatomy 0.000 description 1
- 230000035882 stress Effects 0.000 description 1
- 210000004876 tela submucosa Anatomy 0.000 description 1
- 210000002435 tendon Anatomy 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/38—Collecting or arranging articles in groups
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/36—Removing material
- B23K26/38—Removing material by boring or cutting
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/70—Auxiliary operations or equipment
- B23K26/702—Auxiliary equipment
Abstract
The application discloses a method for screening biological tissues, which comprises the following steps: placing the biological tissue to be detected on a movable platform; irradiating the biological tissue by laser of a non-contact detection device, and acquiring information of the biological tissue; the non-contact detection device sends the acquired information to a central processing unit; the central processing unit identifies the received information of the biological tissue and marks the qualified area of the biological tissue; the central processing unit displays the information of each area on the biological tissue on the display; the central processing unit transmits the information of each area on the biological tissue to the laser cutting control system; the laser control system cuts the qualified area of the biological tissue; conveying the cut biological tissue to a flexibility testing area for flexibility testing; the compliant biological tissue is transferred to a storage area. The application also provides a screening device for biological tissues, and the method can be used for full-automatic sterile operation.
Description
Technical Field
The application relates to the technical field of biological tissue screening, in particular to a biological tissue screening method and a biological tissue screening device.
Background
The heart is one of the most important organs of a human body, promotes blood flow, provides sufficient blood flow to tissues and organs, and maintains the normal function of the human body. The heart contains four tissues similar to one-way valves, such that blood can only flow in one direction, including the aortic, mitral, tricuspid, and pulmonary valves. When the valve is diseased and can not work normally, serious heart diseases can be generated, so that the life quality of patients is seriously reduced, and even the patients are disabled and killed. With the accelerating population aging and the increasing incidence of valve diseases, the replacement of the artificial valve is one of the effective treatment means for treating the valve diseases. The artificial valve is divided into a mechanical valve and a biological valve. Mechanical valves are prone to generate thrombus, so that the incidence rate of serious complications such as cerebral apoplexy is increased, lifetime anticoagulation is needed, and complications such as blood coagulation disorder can occur due to anticoagulation. The biological valve has good histocompatibility, does not need drug anticoagulation, and has better treatment effect. The fabrication of a biological valve requires the selection of several leaflets, which are sutured to a stent, and the simultaneous opening and closing of all leaflets to ensure the performance of the valve, which also requires that all leaflets of each valve have similar geometry and physical properties. Since the leaflets of the biological valve are obtained from biological tissues, the leaflets need to be measured and screened in order to ensure the consistency of the physical properties of the leaflets.
Disclosure of Invention
In view of the above, the present application provides a method and an apparatus for screening biological tissues, the method can be performed by a full-automatic aseptic operation, and the screened biological tissues have the advantages of controllable, rapid and accurate operation, reduced contamination, and the like.
In order to achieve the above object, according to one aspect of the present application, a method of screening a biological tissue and an apparatus for screening a biological tissue are provided.
The present application provides the following technical solutions.
1. A method for screening biological tissues, comprising the steps of:
placing the biological tissue to be detected on a movable platform;
irradiating the biological tissue by laser of a non-contact detection device, and acquiring information of the biological tissue;
the non-contact detection device sends the acquired information to a central processing unit;
the central processor identifies the received information of the biological tissue and marks qualified areas of the biological tissue;
the central processing unit displays the information of each area on the biological tissue on the display;
the central processing unit transmits the information of each area on the biological tissue to the laser cutting control system;
the laser control system cuts the qualified area of the biological tissue;
conveying the cut biological tissue to a flexibility testing area for flexibility testing;
the compliant biological tissue is transferred to a storage area.
2. The method according to item 1, wherein the information on the biological tissue collected by the non-contact type detecting means includes thickness information and appearance information,
the non-contact detection device is used for measuring the thickness of the biological tissue without damaging the biological tissue and marking areas with different thicknesses of the biological tissue into different colors;
the non-contact detection device collects the appearance information of the biological tissue;
the appearance information is the surface flatness of the biological tissue, the tissue integrity, the color of the biological tissue and whether impurities exist on the surface of the biological tissue.
3. The method according to claim 1 or 2, wherein the non-contact detection device comprises a laser tester.
4. The method according to claim 2, wherein the central processing unit displays the thickness information of the biological tissue on the display in an image form, and the central processing unit displays the appearance information of the biological tissue on the display in an image form, and further preferably displays the thickness information and the appearance information in a map in a superposed manner.
5. The method according to item 4, wherein the central processing unit pre-stores information that the biological tissue is qualified in appearance, and when the non-contact detection device sends the collected information to the central processing unit, the central processing unit identifies the received information that the biological tissue is qualified in appearance by comparing the pre-stored information that the biological tissue is qualified in appearance, and marks out an area that the biological tissue is qualified in appearance; when there is no cosmetically acceptable area on the biological tissue, the central processor issues an alarm and the movable platform delivers the biological tissue to a waste area.
6. The method according to item 5, wherein the central processing unit pre-stores information that the thickness of the biological tissue is qualified, and when the non-contact detection device sends the collected information to the central processing unit, the central processing unit identifies the received thickness information of the biological tissue by comparing the pre-stored information that the thickness is qualified, and marks an area on the biological tissue that the thickness is qualified; when there is no area of acceptable thickness on the biological tissue, the central processor issues an alarm and the movable platform delivers the biological tissue to a waste area.
7. The method according to item 6, wherein the area with qualified thickness and appearance in the map is marked with color, the central processor transmits the map with the marked color to the laser cutting control system, and the cutting point and the cutting path are controlled on the laser cutting control display screen to cut out the biological tissue A with qualified thickness and appearance;
the laser cutting control system determines a cutting point and a cutting path based on the qualifying region in the map.
8. The method according to item 6, wherein the biological tissue A passes through a detection area comprising a fibrous detection area and an elastic detection area,
the fiber detection area observes the fiber trend of the biological tissue A by high power;
the elastic detection area detects the tensile force born by the biological tissue A.
9. The method according to item 7, wherein the movable platform conveys biological tissue a to the flexibility testing area, performs flexibility testing on the biological tissue a, and conveys the biological tissue a to a storage area when the flexibility testing of the biological tissue a is qualified; when the biological tissue A fails the flexibility test, the movable platform conveys the biological tissue A to a waste area.
10. The method according to item 9, wherein the movable platform conveys the biological tissue a into the flexibility test area, a flexibility detection device is used for detecting the flexibility of the biological tissue a, and when the flexibility value of the biological tissue a is within the threshold range of the flexibility detection device, the flexibility test of the biological tissue a is qualified; and when the biological tissue A flexibility value is not within the threshold range of the flexibility detection device, the biological tissue A flexibility test is not qualified.
11. The method according to item 9, wherein when the movable platform transfers the biological tissue A to a storage area, the storage area includes a verification area and a grouping area,
the biological tissue A firstly passes through a verification area which is used for identifying the shape and the thickness of the collected biological tissue A;
and the grouping area is used for grouping and storing the biological tissue A according to the shape and thickness information of the biological tissue A acquired by the verification area.
12. A method for screening biological tissue according to any one of claims 1 to 11, wherein all the procedures of the method are performed aseptically in a sterile room.
13. A biological tissue screening device, comprising:
a movable platform for transporting biological tissue;
the data acquisition module is used for acquiring the information of the biological tissue;
the central processing module is used for displaying, marking and transmitting the information acquired by the data acquisition module;
the cutting module cuts the biological tissue according to the data information transmitted by the central processing module;
the flexibility testing module is used for testing the flexibility of the biological tissue obtained after the cutting module cuts the biological tissue;
the storage module is used for storing qualified biological tissues;
and the abandonment module is used for storing unqualified biological tissues.
14. The biological tissue screening apparatus according to claim 13, wherein the data acquisition module includes a thickness measurement unit for measuring the thickness of the biological tissue and marking regions of the biological tissue with different thicknesses in different colors, and an image recognition unit; the image recognition unit is used for collecting appearance information of the biological tissue;
the appearance information is surface flatness, tissue integrity, color and whether impurities exist.
15. The biological tissue screening apparatus according to claim 14, wherein the central processing module is configured to map information on different thickness regions of the biological tissue on the display, and reflect qualified regions of appearance information in the biological tissue on the display, and further preferably, the thickness and the appearance information are superimposed on one map.
16. The apparatus according to claim 15, wherein the central processing module pre-stores information that the biological tissue is qualified in appearance, and when the data acquisition module transmits the acquired information to the central processing module, the central processing module identifies the received information that the biological tissue is qualified in appearance by comparing the pre-stored information that the biological tissue is qualified in appearance, and marks an area that the biological tissue is qualified in appearance; when there is no qualified area on the biological tissue, the central processing module issues an alarm, and the movable platform transfers the biological tissue to a waste module.
17. The apparatus according to claim 16, wherein the central processing module pre-stores therein information that the thickness of the biological tissue is acceptable, and when the data acquisition module transmits the acquired information to the central processing module, the central processing module identifies the received thickness information of the biological tissue by comparing the pre-stored information that the thickness is acceptable, and marks an area on the biological tissue that the thickness is acceptable; when there is no area of acceptable thickness on the biological tissue, the central processing module issues an alarm and the movable platform transfers the biological tissue to a waste module.
18. The apparatus according to item 17, wherein the map is color-coded on areas of acceptable thickness and appearance, and the central processing module transmits the color-coded map to the cutting module, and cuts out the biological tissue a of acceptable thickness and appearance.
19. The apparatus according to claim 17, further comprising a detection module including a fiber detection unit and an elastic force detection unit,
the fiber detection unit is used for detecting and recording the fiber orientation of the biological tissue A;
the elastic force detection unit is used for detecting and recording the tensile force born by the biological tissue A.
20. The biological tissue screening apparatus according to claim 18, wherein the biological tissue a is transferred to the flexibility testing module through the movable platform, a flexibility test is performed on the biological tissue a, and when the flexibility test of the biological tissue a is qualified, the movable platform transfers the biological tissue a to a storage module; when the biological tissue A fails the flexibility test, the movable platform transfers the biological tissue A to a waste module.
21. The apparatus according to claim 18, wherein the movable platform transfers the biological tissue a to the flexibility testing module, and detects the flexibility of the biological tissue a, and when the flexibility value of the biological tissue a is within a threshold range pre-stored in the flexibility testing module, the flexibility of the biological tissue a is tested to be qualified; and when the deflection value of the biological tissue A is not within the threshold range of the deflection test module, the deflection test of the biological tissue A fails.
22. The biological tissue screening apparatus according to item 20, wherein the storage module includes a verification unit and a grouping unit,
the checking unit is used for identifying the shape and the thickness of the collected biological tissue A;
the grouping unit is used for grouping and storing the biological tissue A according to the shape and thickness information of the biological tissue A acquired by the verification unit.
23. The apparatus according to item 20, wherein the movable platform further comprises a mechanical unit, and when the biological tissue a flexibility testing module is used, the mechanical unit adjusts the position of the biological tissue a so that the flexibility testing module tests the flexibility of the biological tissue a.
24. A biological tissue screening apparatus according to any one of claims 15 to 23, further comprising a control module for controlling the operation of the movable platform, data acquisition module, central processing module, cutting module, flexibility testing module, storage module and waste module.
The application provides a screening method of biological tissue, the biological tissue that awaits measuring is arranged in movable platform, through non-contact detection device is right the biological tissue carries out non-contact scanning, and will the thickness information and the outward appearance information transmission of biological tissue to central processing unit, central processing unit maps received information at the display to mark the region that the outward appearance is qualified, then central processing unit sends the information of the biological tissue that marks to laser control system, laser control system is right the biological tissue cuts through received information, biological tissue process obtain biological tissue A after the laser control system cuts, movable platform drives biological tissue A moves to flexibility test area, it is right through flexibility detection device biological tissue A carries out the flexibility test, and calculating the deflection degree of the biological tissue A, wherein when the deflection degree is within a threshold value range pre-stored by the deflection degree detection device, the deflection degree of the biological tissue A is qualified, and the movable platform drives the biological tissue A to reach a storage area.
This application biological tissue's sieving mechanism when screening biological tissue, go on in aseptic environment, but whole process can control movable platform, data acquisition module, central processing module, cutting module, deflection test module, storage module and abandonment module through control module moreover to realize automated control, need not the manual work and operate, can be fast accurate detect out the result, not only can reduce moreover biological tissue infects the probability of fungus, can also practice thrift the cost of labor.
Drawings
The drawings are included to provide a further understanding of the application and are not to be construed as limiting the application. Wherein:
FIG. 1 is a schematic view of a device for screening biological tissue according to the present application.
Fig. 2 is a schematic view of a device for screening biological tissue according to the present application.
Fig. 3 is a schematic view of a device for screening biological tissue according to the present application.
Fig. 4 is a schematic view of a device for screening biological tissue according to the present application.
List of reference numerals
The biological tissue screening device comprises a biological tissue screening device body, a movable platform body, a mechanical unit body, a data acquisition module body, a thickness measurement unit body 31, an image recognition unit body 32, a central processing module body 4, a cutting module body 5, a flexibility testing module body 6, a storage module body 7, a abandonment module body 8 and a control module body 9.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The application provides a method for screening biological tissues, which comprises the following steps:
the method comprises the following steps: placing the biological tissue to be detected on a movable platform;
step two: irradiating the biological tissue by laser of a non-contact detection device, and acquiring information of the biological tissue;
step three: the non-contact detection device sends the acquired information to a central processing unit;
step four: the central processor identifies the received information of the biological tissue and marks qualified areas of the biological tissue;
step five: the central processing unit displays the information of each area on the biological tissue on the display;
step six: the central processing unit transmits the information of each area on the biological tissue to the laser cutting control system;
step seven: the laser control system cuts the qualified area of the biological tissue;
step eight: conveying the cut biological tissue to a flexibility testing area for flexibility testing;
step nine: transferring the flexure-qualified biological tissue to a storage area; the biological tissue that is not compliant is transported to a waste area.
The movable platform can move the biological tissue to a cutting region, a flexibility measuring region, a storage region and a waste region.
The non-contact detection device can acquire the thickness of each part and the appearance information of each part on the biological tissue by irradiating the biological tissue with laser, and sends the acquired information to the central processing unit.
The steps from step one to step nine are all carried out under aseptic conditions.
In the application, the information of the biological tissue collected by the non-contact detection device comprises thickness information and appearance information, the non-contact detection device measures the thickness of the biological tissue without damaging the biological tissue, and areas with different thicknesses on the biological tissue are marked into different colors;
the non-contact detection device collects the appearance information of the biological tissue;
the appearance information is the surface flatness of the biological tissue, the color of the biological tissue and whether impurities exist on the surface of the biological tissue.
The area with the thickness of 0.18-0.24mm on the biological tissue can be marked as blue, the area with the thickness of 0.25-0.38mm can be marked as red, and the area with the thickness of 0.39-0.43mm can be marked as yellow, and it should be noted that the above color selection is only exemplary, and in practical use, the color selection can be performed according to needs.
In the application, the non-contact detection device sends the collected thickness information and appearance information of the biological tissue to a central processing unit.
The non-contact detection device comprises a laser tester. The laser tester comprises a laser, a light signal receiver, an imaging objective lens, a signal processing measurement and the like.
In this application, the qualified information of biological tissue outward appearance has been prestored in the central processing unit, works as when the information that non-contact detection device will gather is sent central processing unit, central processing unit is through comparing the qualified information of prestored outward appearance, to receiving the outward appearance information of biological tissue discerns, and will the qualified region mark of outward appearance on the biological tissue.
The information of qualified appearance of the biological tissue pre-stored in the central processing unit is as follows: the surface flatness is that the surface of the biological tissue has no folds (no folds on the surface of the biological tissue: 1cm on the biological tissue)2The height difference in the area of (2) is not more than 1 mm. It is understood that in actual production, the definition of "no wrinkles on the surface of the biological tissue" can be specifically adjusted according to specific requirements), the tissue is intact, the surface of the biological tissue has no damage or holes, the color is uniform milky white, and the surface has no impurities.
When the central processor identifies the received appearance information of the biological tissue and no area with qualified appearance exists on the biological tissue, the central processor gives an alarm, and the movable platform conveys the biological tissue to a waste area.
The central processing unit is internally pre-stored with information that the thickness of the biological tissue is qualified, and when the non-contact detection device sends the acquired information to the central processing unit, the central processing unit identifies the received thickness information of the biological tissue by comparing the pre-stored information that the thickness is qualified, and marks out an area with qualified thickness on the biological tissue; when there is no area of acceptable thickness on the biological tissue, the central processor issues an alarm and the movable platform delivers the biological tissue to a waste area.
In the present application, the central processing unit displays the thickness information of the biological tissue on the display in the form of an image, and the central processing unit displays the appearance information of the biological tissue on the display in the form of an image, and more preferably, displays the thickness information and the appearance information in a map in a superimposed manner. Thus, the thickness distribution of each region of the biological tissue and the appearance information of each region can be seen on the display.
The central processor transmits the mapping map with the marked color to a laser cutting control system, and controls a cutting point and a cutting path to cut out a biological tissue A with qualified thickness and appearance on a laser cutting control display screen;
the laser cutting control system determines a cutting point and a cutting path based on the qualifying region in the map.
The thickness of the biological tissue A is 0.25-0.35mm, and the shape of the biological tissue A can be determined according to the shape of the qualified area. The laser cutting control system can determine a cutting point and a cutting path according to the boundary of the qualified area, the laser cutting control system can also preset a certain shape and size (the preset shape and size cannot exceed the range of the qualified area), and when cutting is needed, the laser cutting control system cuts the biological tissue A according to the preset shape and size.
In the present application, the biological tissue A also passes through a detection zone, which comprises a fibrous detection zone and an elastic detection zone,
when the biological tissue A passes through the fiber detection area in the conveying process of the movable platform, the fiber detection area is used for detecting and recording the fiber orientation of the biological tissue A;
the biological tissue A can be observed by the high power microscope.
When the biological tissue A passes through the elastic detection area in the conveying process of the movable platform, the elastic detection area is used for detecting and recording the tensile force born by the biological tissue A. When the biological tissue A is conveyed to the testing position, the two manipulators exert bidirectional tension on the biological tissue, and the tension value is 0.5-2N, preferably 0.8-1.5N.
The detection zone may be disposed either before or after the flexibility test zone.
In the application, the movable platform conveys a biological tissue A to the flexibility testing area, the flexibility of the biological tissue A is tested, and when the flexibility of the biological tissue A is tested to be qualified, the movable platform conveys the biological tissue A to a storage area; when the biological tissue A fails the flexibility test, the movable platform conveys the biological tissue A to a waste area.
In the application, the movable platform conveys the biological tissue A into the flexibility testing area, the flexibility detection device is used for detecting the flexibility of the biological tissue A, and when the flexibility value of the biological tissue A is within the threshold range of the flexibility detection device, the flexibility test of the biological tissue A is qualified; and when the deflection value of the biological tissue A is not within the threshold range of the deflection detection device, the deflection test of the biological tissue A fails. Process of flexibility test of biological tissue: when the movable platform conveys the biological tissue A to the flexibility test area, the biological tissue A is placed on a flexibility test base through a mechanical unit and clamped and fixed, a test position is adjusted (the test position is obtained through simulation calculation when the biological tissue A is designed, then the biological tissue A is adjusted on a flexibility test module to ensure that the biological tissue A automatically moves to a preset point when being tested), the sensor is zeroed to apply pressure load to the biological tissue A, and the flexibility value is automatically recorded after 5 times of continuous tests.
The test principle is as follows: when the biological valve is implanted into the heart, the valve leaflets are continuously opened and closed under the action of pressure, so that the normal flow of blood is ensured, the biological tissues (valve leaflets) on the valve can be opened and closed at the same time, the pressure borne by the valve in the heart can be simulated by the device, and the stress is applied to the valve leaflets to obtain the strain (deflection value) after the valve leaflets are stressed.
Deflection (also called deflection; deflection or deflection), the linear displacement of a biological tissue in a direction perpendicular to the material axis when the tissue is deformed by a force, expressed in mm.
In the present application, when the movable platform transfers the biological tissue a to a storage area including a verification area and a grouping area,
the biological tissue A firstly passes through a verification area which is used for identifying the shape and the thickness of the collected biological tissue A; here, thickness detection: and selecting the thicknesses of four points on the cut biological tissue A for detection, wherein the four test points are four points at intervals in a non-contact probe according to a cutting path.
And the grouping area is used for grouping and storing the biological tissue A according to the shape and thickness information of the biological tissue A acquired by the verification area.
And respectively storing the cut biological tissues A according to the shape and the thickness, wherein the shape comprises a mitral valve, an aortic valve, a pulmonary artery, a tricuspid valve or other biological patches, and each shape is divided into a plurality of thickness intervals.
Adopt the flexibility detection device simple structure in this application, the testing process is simple and convenient swift, can not cause the damage to biological tissue moreover, measures the accuracy, can select the less biological tissue of deformation difference, and the calcification condition of each piece biological tissue is little in the use, has prolonged biological tissue's life.
As shown in fig. 1, the present application also provides a screening apparatus 1 for biological tissue, comprising:
a movable platform 2 for conveying biological tissue;
the data acquisition module 3 is used for acquiring the information of the biological tissues;
the central processing module 4 is used for displaying, marking and transmitting the information acquired by the data acquisition module;
the cutting module 5 cuts the biological tissue according to the data information transmitted by the central processing module;
the flexibility testing module 6 is used for testing the flexibility of the biological tissue obtained after the cutting module cuts the biological tissue;
a storage module 7 for storing qualified biological tissue;
and the abandonment module 8 is used for storing unqualified biological tissues.
As shown in fig. 2, in the present application, the data acquisition module includes a thickness measurement unit 31 and an image recognition unit 32, the thickness measurement unit 31 is used for measuring the thickness of the biological tissue and marking the regions of the biological tissue with different thicknesses into different colors; the image recognition unit 32 is used for collecting appearance information of the biological tissue;
the appearance information is surface flatness, color and whether impurities exist.
The area of the biological tissue with the thickness of 0.18-0.24mm can be marked as blue, the area of the biological tissue with the thickness of 0.25-0.38mm can be marked as red, and the area of the biological tissue with the thickness of 0.39-0.43mm can be marked as yellow. It should be noted that the above color selection is only an exemplary illustration, and in actual use, the color selection can be selected according to needs.
The data acquisition module 3 transmits the acquired thickness information and appearance information of the biological tissue to the central processing module 4.
In the present application, the central processing module 4 is configured to map the different thickness regions of the biological tissue on the display, and also reflect the qualified regions of the appearance information in the biological tissue on the display, so as to overlay the thickness and the appearance information on one map. Thus, the thickness distribution of each region of the biological tissue and the appearance information of each region can be seen on the display.
In this application, the qualified information of biological tissue outward appearance is prestored in central processing module 4, and when data acquisition module 3 sent the information of gathering to central processing module 4, central processing module 4 discerned the received outward appearance information of biological tissue through comparing the qualified information of prestored outward appearance, and will the qualified region mark of outward appearance on the biological tissue.
The information of qualified appearance of the biological tissue pre-stored in the central processing module 4 is as follows: no fold, complete tissue without damage and holes, uniform milky color, and no impurities on the surface.
When the central processing module 4 identifies the received appearance information of the biological tissue, and no qualified area exists on the biological tissue, the central processing module 4 gives an alarm, and the movable platform 2 conveys the biological tissue to a waste area.
In the application, the central processing module 4 stores information that the thickness of the biological tissue is qualified in advance, and when the data acquisition module 3 sends the acquired information to the central processing module 4, the central processing module 4 identifies the received thickness information of the biological tissue by comparing the information that the thickness is qualified and is stored in advance, and marks out an area with qualified thickness on the biological tissue; when there is no area of acceptable thickness on the biological tissue, the central processing module 4 issues an alarm and the movable platform 2 transfers the biological tissue to the waste module 8.
In the present application, the area with qualified thickness and appearance is marked with color in the map, the central processing module 4 transmits the map with marked color to the cutting module 5, and the biological tissue a with qualified thickness and appearance is cut out by the cutting module 5.
And on the biological tissue, in the area with qualified thickness and appearance, the cutting module compares the cutting path mapping chart with the thickness area, and preferentially cuts the biological tissue A with the thickness value difference within a certain range.
The shape of the biological tissue a may be determined according to the appearance and the shape of the area eligible for thickness. The cutting module 5 may determine a cutting point and a cutting path according to a boundary of the area with both acceptable appearance and thickness, the cutting module 5 may also preset a certain shape and size (the preset shape and size cannot exceed the range of the area with both acceptable appearance and thickness, i.e., the cutting path), and when cutting is required, the cutting module 5 cuts the biological tissue a according to the cutting path.
In this application, the device further comprises a detection module comprising a fiber detection unit and an elasticity detection unit,
when the biological tissue passes through the fiber detection unit in the conveying process of the movable platform, the fiber detection unit is used for detecting and recording the fiber orientation of the biological tissue (the biological tissue can be observed by the high power microscope);
when the biological tissue passes through the elastic force detection unit in the conveying process of the movable platform, the elastic force detection unit is used for detecting and recording the tensile force which can be born by the biological tissue. When the biological tissue is transferred to the test position, the two manipulators exert a bidirectional tension on the biological tissue, the tension value being between 0.5 and 2N, preferably between 0.8 and 1.5N.
The detection module may be disposed before the flexibility testing module 6 or disposed after the flexibility testing module 6.
In the present application, the biological tissue a is transferred to the flexibility testing module 6 through the movable platform 2, the flexibility of the biological tissue a is tested, and when the flexibility of the biological tissue a is tested to be qualified, the movable platform 2 transfers the biological tissue a to the storage module 7; when the biological tissue a fails the flexibility test, the movable platform 2 transfers the biological tissue a to waste 8.
In the present application, the movable platform 2 transfers the biological tissue a to the flexibility testing module 6, and performs flexibility detection on the biological tissue a, and when the flexibility value of the biological tissue a is within a threshold range pre-stored in the flexibility testing module 6, the flexibility test of the biological tissue a is qualified; when the value of the deflection degree of the biological tissue A is not within the threshold value range of the deflection degree test module 6, the deflection degree test of the biological tissue A is not qualified.
In this application, the storage module includes a checking unit and a grouping unit,
the checking unit is used for identifying the shape and the thickness of the collected biological tissue A;
the biological tissue A firstly passes through a verification unit which is used for identifying the shape and the thickness of the collected biological tissue A; here, thickness detection: and selecting the thicknesses of four points on the cut biological tissue A for detection, wherein the four test points are four points which are spaced in a non-contact probe according to a cutting path.
The grouping unit is used for grouping and storing the biological tissue A according to the shape and thickness information of the biological tissue A acquired by the verification unit.
The cut biological tissue A is stored according to the shape and the thickness respectively, for example, the shape comprises a mitral valve, an aortic valve, a pulmonary artery, a tricuspid valve or other biological patches, and each shape is divided into a plurality of thickness intervals.
As shown in fig. 3, in the present application, the movable platform 2 further includes a mechanical unit 21, and when the biological tissue a reaches the flexibility testing module 6, the mechanical unit 21 adjusts the position of the biological tissue a so that the flexibility testing module 6 tests the flexibility of the biological tissue a.
The mechanical unit includes a plurality of manipulators.
As shown in fig. 4, in the present application, the device further includes a control module 9, the control module 9 is used for controlling the operations of the movable platform 2, the data acquisition module 3, the central processing module 4, the cutting module 5, the flexibility testing module 6, the storage module 7 and the abandonment module 8, the device can realize automatic control, does not need manual operation, not only can reduce the probability of contamination of biological tissues, but also can save labor cost, and can quickly and accurately detect results.
The biological tissue described herein may be used to make prosthetic heart valves and heart patches, among others. The biological tissue may be porcine or bovine heart valves, blood vessels, skin, dura mater, pericardium, small intestine submucosa, ligaments or tendons.
The biological tissue described herein may be cut into mitral valve, aortic valve, tricuspid valve, and the like.
In the present application, when cutting the mitral valve leaflet, the biological tissue may be marked in red within a range of 0.28-0.38mm, the cutting module may align the map of the cutting path with a region having a qualified thickness and appearance, and the cutting module preferentially cuts a region having a difference in thickness value within a certain range.
When the aortic valve leaflets are cut, the aortic valve leaflets can be marked to be red within the range of 0.23-0.33mm, the cutting module enables the mapping image of the cutting path to be matched with the regions with qualified thickness and appearance, and the cutting module preferentially cuts the regions with the difference of the thickness values within a certain range.
When the mitral valve leaflets and the aortic valve leaflets are cut simultaneously, the mitral valve leaflets and the aortic valve leaflets can be marked in red within a range of 0.23-0.38, the cutting module enables a mapping map of a cutting path to be involuted with areas qualified in thickness and appearance, the cutting module identifies that the thickness value is within a range of 0.28-0.38, the area with the difference of the thickness value within a certain range is preferentially cut to be the mitral valve, the system identifies that the thickness value is within a range of 0.23-0.33, and the area with the difference of the thickness value within a certain range is preferentially cut to be the aortic valve.
The traditional biological tissue screening process is that each piece of biological tissue is taken out firstly and placed between fingers, the appearance of the front and back surfaces of the pericardium is checked, whether wrinkles exist or not and whether stains exist or not are detected, the thickness of each point is tested by using a thickness tester, an area with proper thickness is found, a template comparison is carried out, a cutting path is selected under a laser cutting machine to cut valve leaflets in the area, the cut valve leaflets are placed in a flexibility device to test flexibility, the valve leaflets with similar flexibility are matched, a valve can be sewn, the whole process period is long, and the qualification rate is only about 50%. Compared with the traditional screening method, the screening device provided by the application can rapidly output the result at one time, simultaneously reads the result, reduces the test error, can increase and save raw materials, and has the qualification rate of 85%.
Example 1
Placing a piece of bovine pericardium on a movable platform, irradiating the bovine pericardium by laser of a non-contact detection device, and collecting appearance and thickness information of the bovine pericardium; the non-contact detection device sends the acquired information to a central processing unit; the central processing unit identifies the received information of the bovine pericardium and marks qualified areas on the bovine pericardium; the central processing unit displays the appearance information and the thickness information with marks on a display, and simultaneously transmits the information of each marked area of the bovine pericardium to a laser cutting control system; then the movable platform drives the bovine pericardium to be conveyed to a cutting area, and the laser control system performs cutting treatment on the qualified area of the bovine pericardium; after the movable platform transmits the aortic valve leaflets obtained by cutting to a detection area for fiber orientation detection and tension observation, the movable platform transmits the aortic valve leaflets to a flexibility test area for flexibility test, and simultaneously transmits unnecessary bovine pericardium after cutting to a waste area; and after the flexibility is qualified, the movable platform transmits the aortic valve leaflet to a storage area, and various parameters of the aortic valve leaflet are shown in the table 1.
Example 2
Placing a piece of bovine pericardium on a movable platform, irradiating the bovine pericardium by laser of a non-contact detection device, and collecting appearance and thickness information of the bovine pericardium; the non-contact detection device sends the acquired information to a central processing unit; the central processing unit identifies the received information of the bovine pericardium and marks qualified areas on the bovine pericardium; the central processing unit displays the appearance information and the thickness information with marks on a display, and simultaneously transmits the information of each marked area of the bovine pericardium to a laser cutting control system; then the movable platform drives the bovine pericardium to be conveyed to a cutting area, and the laser control system performs cutting treatment on the qualified area of the bovine pericardium; the movable platform transmits the mitral valve leaflets obtained by cutting to a detection area for fiber orientation detection and tension observation, then transmits the mitral valve leaflets to a flexibility test area for flexibility test, and simultaneously transmits the bovine pericardium which is not needed after cutting to a waste area; and after the flexibility is qualified, the movable platform transmits the mitral valve leaflet to a storage area, and various parameters of the mitral valve leaflet are shown in the table 1.
Example 3
Placing a pig pericardium on a movable platform, irradiating the pig pericardium by laser of a non-contact detection device, and collecting appearance and thickness information of the pig pericardium; the non-contact detection device sends the acquired information to a central processing unit; the central processing unit identifies the received information of the pig pericardium and marks qualified areas on the pig pericardium; the central processing unit displays the appearance information and the thickness information with the marks on a display, and simultaneously transmits the information of each marked area of the pig pericardium to a laser cutting control system; then the movable platform drives the pig pericardium to be conveyed to a cutting area, and the laser control system cuts the qualified area of the pig pericardium; after the movable platform transmits the cut pulmonary valve lobes to a detection area for fiber direction detection and tension observation, the movable platform transmits the pulmonary valve lobes to a flexibility test area for flexibility test, and simultaneously transmits unnecessary pig heart bags after cutting to a waste area; and after the flexibility is qualified, the movable platform transmits the pulmonary valve lobe to a storage area, wherein various parameters of the pulmonary valve lobe are shown in the table 1.
Example 4
Placing a pig pericardium on a movable platform, irradiating the pig pericardium by laser of a non-contact detection device, and collecting appearance and thickness information of the pig pericardium; the non-contact detection device sends the acquired information to a central processing unit; the central processing unit identifies the received information of the pig pericardium and marks qualified areas on the pig pericardium; the central processing unit displays the appearance information and the thickness information with the marks on a display, and simultaneously transmits the information of each marked area of the pig pericardium to a laser cutting control system; then the movable platform drives the pig pericardium to be conveyed to a cutting area, and the laser control system cuts the qualified area of the pig pericardium; the movable platform transmits the tricuspid valve leaflets obtained by cutting to a detection area for fiber orientation detection and tension observation, then transmits the tricuspid valve leaflets to a flexibility test area for flexibility test, and simultaneously transmits unnecessary pig heart packets obtained by cutting to a waste area; the movable platform transfers the tricuspid valve to a storage area after the degree of flexure is qualified, and the parameters of the tricuspid valve are as shown in table 1.
Example 5
Placing a pig pericardium on a movable platform, irradiating the pig pericardium by laser of a non-contact detection device, and collecting appearance and thickness information of the pig pericardium; the non-contact detection device sends the acquired information to a central processing unit; the central processing unit identifies the received information of the porcine pericardium, and marks qualified areas with different thicknesses and appearances on the porcine pericardium by different colors respectively; the central processing unit displays the appearance information and the thickness information with the marks on a display, and simultaneously transmits the information of each marked area of the pig pericardium to a laser cutting control system; then the movable platform drives the pig pericardium to be conveyed to a cutting area, and the laser control system cuts qualified areas marked with different colors on the pig pericardium; after the movable platform respectively transmits the aortic valve leaflets, the mitral valve leaflets and the tricuspid valve leaflets obtained by cutting to a detection area for fiber trend detection and tension observation, the movable platform respectively transmits the aortic valve leaflets, the mitral valve leaflets and the tricuspid valve leaflets to a flexibility test area for flexibility test, and simultaneously transmits pig heart packets which are not needed after cutting to a waste area; after the flexibility is qualified, the movable platform respectively transmits the aortic valve leaflets, the mitral valve leaflets and the tricuspid valve leaflets to a storage area for grouping storage, and various parameters of the aortic valve leaflets, the mitral valve leaflets and the tricuspid valve are shown in the table 1.
Table 1 shows the parameters of biological tissue A selected in each example
And (3) knotting: as can be seen from Table 1, the biological tissue screened by the method of the present application has a smooth surface, uniform color, low contamination rate and high qualification rate. Moreover, the screening device can screen biological tissue valve leaflets of different sizes, different specifications and different types at the same time.
Although the embodiments of the present application have been described above with reference to the accompanying drawings, the present application is not limited to the above-described embodiments and application fields, and the above-described embodiments are illustrative, instructive, and not restrictive. Those skilled in the art, having the benefit of this disclosure, may effect numerous modifications thereto and changes may be made without departing from the scope of the invention as defined by the appended claims.
Claims (20)
1. A method for screening biological tissues, comprising the steps of:
placing the biological tissue to be detected on a movable platform;
irradiating the biological tissue by laser of a non-contact detection device, and acquiring information of the biological tissue;
the non-contact detection device sends the acquired information to a central processing unit;
the central processor identifies the received information of the biological tissue and marks qualified areas of the biological tissue;
the central processing unit displays the information of each area on the biological tissue on the display;
the central processing unit transmits the information of each area on the biological tissue to the laser cutting control system;
the laser cutting control system cuts the qualified area of the biological tissue;
conveying the cut biological tissue to a flexibility testing area for flexibility testing;
transferring the flexure-qualified biological tissue to a storage area;
the information of the biological tissue collected by the non-contact detection device comprises thickness information and appearance information,
the non-contact detection device is used for measuring the thickness of the biological tissue without damaging the biological tissue and marking areas with different thicknesses of the biological tissue into different colors;
the non-contact detection device collects the appearance information of the biological tissue;
the appearance information is the surface flatness of the biological tissue, the tissue integrity, the color of the biological tissue and whether impurities exist on the surface of the biological tissue;
the biological tissue obtained by cutting by the laser cutting control system is biological tissue A, the biological tissue A also passes through a detection area, the detection area comprises a fiber detection area and an elastic detection area,
the fiber detection area is used for detecting and recording the fiber orientation of the biological tissue A;
the elastic detection area is used for detecting and recording the tensile force born by the biological tissue A;
the movable platform conveys a biological tissue A to the flexibility testing area, the flexibility of the biological tissue A is tested, and when the flexibility of the biological tissue A is tested to be qualified, the movable platform conveys the biological tissue A to a storage area; when the biological tissue A fails the flexibility test, the movable platform conveys the biological tissue A to a waste area.
2. The method of claim 1, wherein the biological tissue is selected from the group consisting of,
the non-contact detection device comprises a laser tester.
3. The method as claimed in claim 1, wherein the central processor displays the thickness information of the biological tissue on the display in an image manner, and the central processor displays the appearance information of the biological tissue on the display in an image manner.
4. The method as claimed in claim 3, wherein the thickness information and the appearance information are displayed in a map in a manner of being superimposed.
5. The method as claimed in claim 4, wherein the central processing unit stores information of qualified appearance of biological tissue in advance, and when the non-contact detection device sends the collected information to the central processing unit, the central processing unit compares the information of qualified appearance stored in advance, identifies the received information of qualified appearance of biological tissue, and marks the region of qualified appearance on the biological tissue; when there is no cosmetically acceptable area on the biological tissue, the central processor issues an alarm and the movable platform delivers the biological tissue to a waste area.
6. The method as claimed in claim 5, wherein the central processing unit stores information of qualified thickness of biological tissue in advance, and when the non-contact detection device sends the collected information to the central processing unit, the central processing unit compares the pre-stored information of qualified thickness to identify the received information of thickness of biological tissue and mark the region of qualified thickness on the biological tissue; when there is no area of acceptable thickness on the biological tissue, the central processor issues an alarm and the movable platform delivers the biological tissue to a waste area.
7. The method for screening biological tissues according to claim 6, wherein the area with qualified thickness and appearance in the map is marked with color, the central processor transmits the map with the marked color to the laser cutting control system, and the cutting point and the cutting path are controlled on the laser cutting control display screen to cut out the biological tissues A with qualified thickness and appearance;
the laser cutting control system determines a cutting point and a cutting path based on the qualifying region in the map.
8. The method for screening biological tissues according to claim 7, wherein the movable platform conveys the biological tissue A into the flexibility testing area, the flexibility detection device is used for detecting the flexibility of the biological tissue A, and the flexibility of the biological tissue A is tested to be qualified when the flexibility value of the biological tissue A is within the threshold range of the flexibility detection device; and when the biological tissue A flexibility value is not within the threshold range of the flexibility detection device, the biological tissue A flexibility test is not qualified.
9. The method of claim 7, wherein when the movable platform transfers the biological tissue A to a storage area, the storage area includes a verification area and a grouping area,
the biological tissue A firstly passes through a verification area which is used for identifying the shape and the thickness of the collected biological tissue A;
and the grouping area is used for grouping and storing the biological tissue A according to the shape and thickness information of the biological tissue A acquired by the verification area.
10. The method for screening biological tissues according to claim 1, wherein all the procedures of the method are performed aseptically in a sterile room.
11. A biological tissue screening device, comprising:
a movable platform for transporting biological tissue;
the data acquisition module is used for acquiring the information of the biological tissue;
the central processing module is used for displaying, marking and transmitting the information acquired by the data acquisition module;
the cutting module cuts the biological tissue according to the data information transmitted by the central processing module;
the flexibility testing module is used for testing the flexibility of the biological tissue obtained after the cutting module cuts the biological tissue;
the storage module is used for storing qualified biological tissues;
the abandonment module is used for storing unqualified biological tissues;
the data acquisition module comprises a thickness measurement unit and an image recognition unit, wherein the thickness measurement unit is used for measuring the thickness of biological tissues and marking areas with different thicknesses of the biological tissues into different colors; the image recognition unit is used for collecting appearance information of the biological tissue;
the appearance information is surface flatness, complete tissue, color and whether impurities exist;
the biological tissue obtained by the cutting module is biological tissue A,
the device also comprises a detection module, the detection module comprises a fiber detection unit and an elasticity detection unit,
the fiber detection unit is used for detecting and recording the fiber orientation of the biological tissue A;
the elastic force detection unit is used for detecting and recording the tensile force born by the biological tissue A;
the biological tissue A is transmitted to the flexibility testing module through the movable platform, the flexibility of the biological tissue A is tested, and when the flexibility of the biological tissue A is tested to be qualified, the movable platform transmits the biological tissue A to the storage module; when the biological tissue A fails the flexibility test, the movable platform transfers the biological tissue A to a waste module.
12. The device as claimed in claim 11, wherein the central processing module is configured to map the information of the regions of different thickness of the biological tissue on the display, and to reflect the qualified regions of the appearance information of the biological tissue on the display.
13. The device of claim 12, wherein the thickness and the appearance information are registered on a map.
14. The screening apparatus for biological tissue according to claim 13, wherein the central processing module pre-stores information of qualified appearance of biological tissue, and when the data acquisition module transmits the acquired information to the central processing module, the central processing module compares the pre-stored information of qualified appearance to identify the received information of qualified appearance of biological tissue and mark the qualified area on the biological tissue; when there is no qualified area on the biological tissue, the central processing module issues an alarm, and the movable platform transfers the biological tissue to a waste module.
15. The biological tissue screening device according to claim 14, wherein the central processing module stores information on qualified thickness of the biological tissue in advance, and when the data acquisition module transmits the acquired information to the central processing module, the central processing module compares the pre-stored information on qualified thickness to identify the received information on qualified thickness of the biological tissue and mark an area on the biological tissue with qualified thickness; when there is no area of acceptable thickness on the biological tissue, the central processing module issues an alarm and the movable platform transfers the biological tissue to a waste module.
16. The biological tissue screening apparatus according to claim 15, wherein the area of the map that is qualified in thickness and appearance is marked with a color, and the central processing module transfers the map of the marked color to the cutting module, and the biological tissue a that is qualified in thickness and appearance is cut out by the cutting module.
17. The apparatus according to claim 16, wherein the movable platform transfers the biological tissue a to the flexibility testing module, and detects the flexibility of the biological tissue a, and when the flexibility value of the biological tissue a is within a threshold range pre-stored in the flexibility testing module, the flexibility of the biological tissue a is tested to be qualified; and when the deflection value of the biological tissue A is not within the threshold range of the deflection test module, the deflection test of the biological tissue A fails.
18. The biological tissue screening apparatus according to claim 16, wherein said storage module includes a verification unit and a grouping unit,
the checking unit is used for identifying the shape and the thickness of the collected biological tissue A;
the grouping unit is used for grouping and storing the biological tissue A according to the shape and thickness information of the biological tissue A acquired by the verification unit.
19. The apparatus as claimed in claim 16, wherein the movable platform further comprises a mechanical unit, and when the module for testing the flexibility of the biological tissue a is used, the mechanical unit adjusts the position of the biological tissue a so that the module for testing the flexibility of the biological tissue a can test the flexibility of the biological tissue a.
20. The device of any one of claims 12-19, further comprising a control module configured to control the operation of the movable platform, the data acquisition module, the central processing module, the cutting module, the flexibility testing module, the storage module, and the waste module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010175939.7A CN111282848B (en) | 2020-03-13 | 2020-03-13 | Biological tissue screening method and biological tissue screening device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010175939.7A CN111282848B (en) | 2020-03-13 | 2020-03-13 | Biological tissue screening method and biological tissue screening device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111282848A CN111282848A (en) | 2020-06-16 |
| CN111282848B true CN111282848B (en) | 2021-11-30 |
Family
ID=71025832
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010175939.7A Active CN111282848B (en) | 2020-03-13 | 2020-03-13 | Biological tissue screening method and biological tissue screening device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111282848B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102607880A (en) * | 2012-03-23 | 2012-07-25 | 苏州大学 | Piezoelectric micro-dissection system, dissection depth positioning method and dissection method |
| CN203426596U (en) * | 2013-04-15 | 2014-02-12 | 东莞职业技术学院 | Automatic laser cutting machine capable of continuously feeding materials |
| CN103934579A (en) * | 2014-04-21 | 2014-07-23 | 武汉市海昌瑞光电有限公司 | Full-width projection laser leather cutting machine |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1735802A (en) * | 2002-11-11 | 2006-02-15 | 阿特艾得凡科技研究公司 | Time discrimination optics imaging method and equipment used for part biological tissues of animal body |
| US9414887B2 (en) * | 2009-03-13 | 2016-08-16 | Robert R. Alfano | Method and apparatus for producing supercontinuum light for medical and biological applications |
| US9217739B2 (en) * | 2011-06-02 | 2015-12-22 | Dune Medical Devices Ltd. | Tissue sampling for pathological study |
| SG11201507967WA (en) * | 2013-03-27 | 2015-10-29 | Theranos Inc | Methods, devices, and systems for sample analysis |
| JP6356051B2 (en) * | 2014-11-21 | 2018-07-11 | Hoya株式会社 | Analytical apparatus and method of operating analytical apparatus |
| CN107530065A (en) * | 2015-03-06 | 2018-01-02 | 英国质谱公司 | In vivo Microendoscopic tissue identification instrument |
| TWI699532B (en) * | 2018-04-30 | 2020-07-21 | 邦睿生技股份有限公司 | Equipment for testing biological specimens |
-
2020
- 2020-03-13 CN CN202010175939.7A patent/CN111282848B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102607880A (en) * | 2012-03-23 | 2012-07-25 | 苏州大学 | Piezoelectric micro-dissection system, dissection depth positioning method and dissection method |
| CN203426596U (en) * | 2013-04-15 | 2014-02-12 | 东莞职业技术学院 | Automatic laser cutting machine capable of continuously feeding materials |
| CN103934579A (en) * | 2014-04-21 | 2014-07-23 | 武汉市海昌瑞光电有限公司 | Full-width projection laser leather cutting machine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111282848A (en) | 2020-06-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11517427B2 (en) | Systems for assessing and cutting bioprosthetic tissue | |
| US6613087B1 (en) | Indicia for prosthetic device | |
| EP1313409B1 (en) | Donor heart valve sizer and method of use | |
| US7367984B2 (en) | Methods and apparatus for sizing fresh donor heart valves | |
| CN105377171A (en) | Method and system to detect ophthalmic tissue structure and pathologies | |
| WO2011094666A1 (en) | Placido ring measurement of astigmatism axis and laser marking of astigmatism axis | |
| Sacks et al. | Effects of accelerated testing on porcine bioprosthetic heart valve fiber architecture | |
| CN111282848B (en) | Biological tissue screening method and biological tissue screening device | |
| Mwanza et al. | Effects of changing operators and instruments on time-domain and spectral-domain OCT measurements of retinal nerve fiber layer thickness | |
| US20200397946A1 (en) | Optical tissue measurement | |
| Gobbi et al. | Optomechanical eye model with imaging capabilities for objective evaluation of intraocular lenses | |
| US20100016711A1 (en) | Membrane-Deformation Mapping Technique | |
| Grałek et al. | Application of artificial intelligence in pediatric ophthalmic practice | |
| Steinert et al. | Pre-keratoplasty potential acuity evaluation: laser interferometer and potential acuity meter | |
| CN109513048A (en) | A kind of cross-linking method of bioartificial tissue | |
| CN219184343U (en) | Pericardium treatment device | |
| KR102555284B1 (en) | Graft sizer of blood vessel prosthesis | |
| US20210338364A1 (en) | Measuring chordae tendineae forces using fiber Bragg grating optical force sensors | |
| Sample et al. | Repeatability of abnormality and progression in glaucomatous standard and SWAP visual fields | |
| CN117009865A (en) | Glaucoma detection and classification system and head-mounted device | |
| Sugimoto | Effects of leaflet stiffness on the dynamic motion of the aortic heart valve | |
| Liao et al. | Towards a full-field strain sensor for guiding hernia repairs | |
| Brusini et al. | Retinal thickness measurements in chronic glaucoma and ocular hypertension | |
| Liu et al. | Evaluation of biofilm formation on nylon sutures removed from clinically noninfected eyes after cataract surgery | |
| AU2001288486A1 (en) | Fresh donor heart valve sizer and method of use |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |