CN105223110A - A kind of microscope locating and tracking formation method, device and urinal system - Google Patents
A kind of microscope locating and tracking formation method, device and urinal system Download PDFInfo
- Publication number
- CN105223110A CN105223110A CN201410295598.1A CN201410295598A CN105223110A CN 105223110 A CN105223110 A CN 105223110A CN 201410295598 A CN201410295598 A CN 201410295598A CN 105223110 A CN105223110 A CN 105223110A
- Authority
- CN
- China
- Prior art keywords
- high power
- target
- visual field
- power lens
- low
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000015572 biosynthetic process Effects 0.000 title claims abstract description 9
- 230000000007 visual effect Effects 0.000 claims abstract description 118
- 239000002245 particle Substances 0.000 claims abstract description 110
- 238000003384 imaging method Methods 0.000 claims abstract description 9
- 239000011159 matrix material Substances 0.000 claims description 9
- 201000007094 prostatitis Diseases 0.000 claims description 7
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 230000000052 comparative effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012631 diagnostic technique Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000009931 harmful effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 210000002700 urine Anatomy 0.000 description 1
Abstract
The embodiment of the invention discloses a kind of microscope locating and tracking formation method, comprise step: analyze by low power lens to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles; The low-power field picture each being existed target particles is divided into multiple high power lens area of visual field, obtains all high power lens area of visual field that there is target particles, and selected target high power field region wherein also obtains the positional information in each target high power field region; According to the positional information in described each target high power field region, adopt high power lens to take pictures at the region place of correspondence position on the sample of focal plane, obtain high power lens visual field picture.The embodiment of the present invention is also corresponding discloses a kind of microscope locating and tracking imaging device.Implement the embodiment of the present invention, pattern detection speed can be improved, and ensure the accuracy of Sample result as far as possible.
Description
Technical field
The present invention relates to vitro diagnostic techniques field, particularly relate to a kind of microscope locating and tracking formation method, device and urinal system.
Background technology
In extracorporeal diagnostic instrument (as full automatic urine sediment analytic system), widespread use microscopic system is to the sample particle collection image of the focussing plane in counting region, by low-power microscope (hereinafter referred to as low power lens) to the location of target particles, and then under high-power microscope (hereinafter referred to as high power lens), tracking is carried out to target particles and take pictures.
In existing technology, a kind of mode being gathered image by high power lens is: all follow the tracks of the region containing target particles and take pictures.But this mode has weak point, owing to needing to carry out image acquisition to all regions, therefore can expend the longer time in Sample process, the process of taking pictures of a usual sample can several tens minutes consuming time, thus affects Sample speed.
In existing technology, the another kind of mode being gathered image mode by high power lens is: fix number tracking from the region random selecting containing target particles and take pictures, but such collection image mode can be saved time. this mode has weak point, owing to being from path of taking pictures containing the region random selecting of target particles, therefore cannot determine to reach maximum statistic to the selection of target particles, certain harmful effect can be produced to the accuracy of sample results.
Therefore be badly in need of improving existing two kinds of modes, with while the accuracy ensureing Sample result, improve pattern detection speed.
Summary of the invention
The technical matters to be solved of the embodiment of the present invention is, provides a kind of microscope locating and tracking formation method, device and urinal system, can improve pattern detection speed, and ensures the accuracy of Sample result as far as possible.
In order to solve the problems of the technologies described above, embodiments provide a kind of microscope locating and tracking formation method, comprising the following steps:
Analyze by low-power microscope to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles;
The low-power field picture each being existed target particles is divided into multiple high power lens area of visual field, obtains all high power lens area of visual field that there is target particles, and selected target high power field region wherein also obtains the positional information in each target high power field region;
According to the positional information in described each target high power field region, adopt high-power microscope to take pictures at the region place of correspondence position on the sample of focal plane, obtain high power lens visual field picture.
Wherein, the described low-power field picture each being existed target particles is divided into multiple high power lens area of visual field, obtain all high power lens area of visual field that there is target particles, selected target high power field region wherein the step obtaining the positional information in each target high power field region comprise further:
According to the multiplying power relation of described low-power microscope and described high-power microscope, the low-power field picture each being existed target particles is divided into multiple high power lens area of visual field;
Identify each and there is the high power lens area of visual field that there is target particles in the low-power field picture of target particles, and obtain its positional information;
There is selected target high power field region the high power lens area of visual field of target particles from all, and obtain the positional information in each target high power field region.
Wherein, described exist selected target high power field region the high power lens area of visual field of target particles from all, and the step obtaining the positional information in each target high power field region comprises further:
By described all there is the high power lens area of visual field of target particles sum and a maximum number of taking pictures of high power lens preset compare;
If described sum is less than or equal to described maximum number of taking pictures, then described all high power lens area of visual field that there is target particles is chosen to be target high power field region, and obtains the positional information in each target high power field region;
If described sum is greater than described maximum number of taking pictures, then the quantity of the described high power lens area of visual field that there is target particles according to target particle is sorted from big to small, the high power lens area of visual field that the selected maximum number of taking pictures being in prostatitis exists target particles is target high power field region, and obtains the positional information in each target high power field region.
Wherein, described maximum number of taking pictures is less than the sum of all high power lens area of visual field of described focal plane.
Wherein, described positional information is the coordinates matrix information of each high power lens area of visual field.
Correspondingly, the another aspect of the embodiment of the present invention, additionally provides a kind of microscope locating and tracking imaging device, comprising:
Low-power field picture analyzing unit, for analyze by low-power microscope to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles;
Target high power field area determination unit, for each low-power field picture that there is target particles determined for described low power lens photographing unit is divided into multiple high power lens area of visual field, obtain all high power lens area of visual field that there is target particles, selected target high power field region wherein also obtains the positional information in each target high power field region;
High power lens photographing unit, for the positional information in each target high power field region of having selected unit to determine according to described target high power field region, adopt high-power microscope to take pictures at the region place of correspondence position on the sample of focal plane, obtain high power lens visual field picture.
Wherein, described target high power field area determination unit comprises further:
Division unit, for being divided into multiple high power lens area of visual field by each low-power field picture that there is target particles determined for described low power lens photographing unit;
, there is for identifying each the high power lens area of visual field that there is target particles in the low-power field picture of target particles, and obtain its positional information in recognition unit;
Sequencing unit, for sorting from big to small to the quantity of described all high power lens area of visual field that there is target particles according to target particle;
, there is selected target high power field region the high power lens area of visual field of target particles from all, and obtain the positional information in each target high power field region in selected unit.
Wherein, described selected unit comprises further:
Comparing unit, by described all there is the high power lens area of visual field of target particles sum and a maximum number of taking pictures of high power lens preset compare;
Comparative result processing unit, if described sum is less than or equal to described maximum number of taking pictures, is then chosen to be target high power field region by described all high power lens area of visual field that there is target particles, and obtains the positional information in each target high power field region; If described sum is greater than described maximum number of taking pictures, then selected after described sequencing unit sequence, the high power lens area of visual field that the maximum number of taking pictures being in prostatitis exists target particles is target high power field region, and obtains the positional information in each target high power field region.
Wherein, described maximum number of taking pictures is less than the sum of all high power lens area of visual field of described focal plane.
Wherein, described positional information is the coordinates matrix information of each high power lens area of visual field.
Correspondingly, the one side again of the embodiment of the present invention, also provide a kind of urinal system, it includes low-power microscope and high-power microscope, and comprises aforesaid microscope locating and tracking imaging device further.
Implement the embodiment of the present invention, there is following beneficial effect:
In embodiments of the present invention, according to the requirement of user to proving time, the maximum number of taking pictures of high power lens can be pre-set.By to each high power lens area of visual field navigated under low power lens containing target particles number number, determine the high power lens area of visual field needing to carry out taking pictures, then adopt high power lens to carry out tracking to these corresponding area of visual field places in focal plane to take pictures, this ensure that statistics of taking pictures is carried out in the region that select target numbers of particles is maximum within the limited time, while saving the time of taking pictures, the accuracy that ensure that Sample of maximum possible.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, the accompanying drawing obtaining other according to these accompanying drawings still belongs to category of the present invention.
Fig. 1 is the main flow schematic diagram of an embodiment of a kind of microscope locating and tracking formation method provided by the invention;
Fig. 2 is the structural representation of an embodiment of a kind of microscope locating and tracking imaging device provided by the invention;
Fig. 3 is the structural representation of target high power field area determination unit in Fig. 2;
Fig. 4 is the structural representation of selected unit in Fig. 3;
Fig. 5 is the schematic diagram that in one embodiment of the present of invention, a focussing plane is undertaken taking pictures by low power lens;
Fig. 6 is the schematic diagram in Fig. 5, a low-power field picture being divided into multiple high power lens area of visual field;
Fig. 7 is the high power lens area of visual field schematic diagram in Fig. 5 in all low-power field pictures.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, the main flow chart of a kind of microscope locating and tracking formation method provided by the invention embodiment is shown.In this embodiment, the method comprises the following steps:
Step S10, analyze by low power lens to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles;
Be understandable that, this analysis is generally that the type of based target particle and quantity realize.All not containing target particles in all low-power field pictures, then namely this flow process can terminate, and namely need not carry out follow-up high power lens tracking and take pictures, photographic analysis process completes.
Step S12, the low-power field picture each being existed target particles is divided into multiple high power lens area of visual field, obtain all high power lens area of visual field that there is target particles, selected target high power field region wherein also obtains the positional information in each target high power field region;
Particularly, this step S12 comprises further:
According to the multiplying power relation of low power lens and high power lens, the low-power field picture each being existed target particles is divided into multiple high power lens area of visual field;
Identify each and there is the high power lens area of visual field that there is target particles in the low-power field picture of target particles, and obtain its positional information;
There is selected target high power field region the high power lens area of visual field of target particles from all, and obtain the positional information in each target high power field region.
Step S14, according to the positional information in each target high power field region, adopts high power lens to take pictures at the region place of correspondence position on the sample of focal plane, obtains high power lens visual field picture.
Particularly, this step S14 comprises further:
The sum that there is the high power lens area of visual field of target particles by all and a maximum number of taking pictures of high power lens preset compare;
If sum is less than or equal to maximum number of taking pictures, then all high power lens area of visual field that there is target particles are chosen to be target high power field region, and obtain the positional information in each target high power field region;
If sum is greater than maximum number of taking pictures, then the quantity of the high power lens area of visual field that there is target particles according to target particle is sorted from big to small, the high power lens area of visual field that the selected maximum number of taking pictures being in prostatitis exists target particles is target high power field region, and obtain the positional information in each target high power field region, such as, in one example in which, suppose to add up to 20, and maximum number of taking pictures is 15, then the quantity of 20 high power lens area of visual field according to target particle is sorted from big to small, select 15 high power lens field of vision of standing out as target high power field region.
Wherein, maximum number of taking pictures is less than the sum of all high power lens area of visual field of focal plane.
Wherein, positional information is the coordinates matrix information of each high power lens area of visual field, such as, be the horizontal ordinate of each high power lens area of visual field and the value range of ordinate.Be understandable that, other mode also can be adopted in other examples to position.
As shown in Figures 2 to 4, the structural representation of a kind of microscope locating and tracking imaging device provided by the invention embodiment is shown.In this embodiment, this microscope locating and tracking imaging device 1, comprising:
Low-power field picture analyzing unit 10, for analyze by low power lens to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles;
Target high power field area determination unit 12, for each low-power field picture that there is target particles determined for low power lens photographing unit 10 is divided into multiple high power lens area of visual field, obtain all high power lens area of visual field that there is target particles, selected target high power field region wherein also obtains the positional information in each target high power field region;
High power lens photographing unit 14, for the positional information in each target high power field region determined according to target high power field area determination unit 12, adopts high power lens to take pictures at the region place of correspondence position on the sample of focal plane, obtains high power lens visual field picture.
Wherein, target high power field area determination unit 12 comprises further:
Division unit 120, for being divided into multiple high power lens area of visual field by each low-power field picture that there is target particles determined for low power lens photographing unit;
, there is for identifying each the high power lens area of visual field that there is target particles in the low-power field picture of target particles, and obtain its positional information in recognition unit 122;
Sequencing unit 124, for sorting from big to small to the quantity of all high power lens area of visual field that there is target particles according to target particle;
, there is selected target high power field region the high power lens area of visual field of target particles from all, and obtain the positional information in each target high power field region in selected unit 126.
Particularly, selected unit 126 comprises further:
Comparing unit 127, the sum that there is the high power lens area of visual field of target particles by all and a maximum number of taking pictures of high power lens preset compare;
Comparative result processing unit 128, if sum is less than or equal to maximum number of taking pictures, is then chosen to be target high power field region by all high power lens area of visual field that there is target particles, and obtains the positional information in each target high power field region; If sum is greater than maximum number of taking pictures, then selected after sequencing unit sequence, the high power lens area of visual field that the maximum number of taking pictures being in prostatitis exists target particles is target high power field region, and obtains the positional information in each target high power field region.
Wherein, maximum number of taking pictures is less than the sum of all high power lens area of visual field of focal plane.
Wherein, positional information is the coordinates matrix information of each high power lens area of visual field.
Further, the embodiment of the present invention, a kind of urinal system is also provided, it includes low-power microscope and high-power microscope, and comprise the aforementioned microscope locating and tracking imaging device introduced as Fig. 2 to Fig. 4 further, concrete details can refer to the aforementioned introduction to Fig. 2 to Fig. 4, does not repeat at this.
For the ease of carrying out more deep understanding to the present invention, followingly in conjunction with the example of in 5 to Fig. 6, method of the present invention to be described.
Wherein, Fig. 5 shows a focussing plane schematic diagram.According to the multiplying power of low power lens object lens, when the low power lens scope of taking pictures will cover this whole focussing plane, then whole focussing plane includes L low-power field, and in Figure 5, this L is 10.Namely adopt the appearance of low power lens to focal plane sequentially to take pictures, L can be obtained and open (namely 10) low-power field picture;
Fig. 6 shows, and a low-power field picture is divided into the schematic diagram of multiple high power lens area of visual field.Wherein, according to the multiplying power of high power lens object lens, when the high power lens scope of taking pictures will cover a low power lens focus field, then each low-power field region comprises H the high power lens visual field, and in Fig. 6, this H is 12, namely low-power field region can be opened high power lens visual field picture and covers completely by being clapped H, understandable, corresponding to the multiplying power of different high power lenses, this H value is different.
In Fig. 7, according to the differentiation to focussing plane height low-power field, when the high power lens scope of taking pictures will cover whole focussing plane, then whole region comprises L*H the high power lens visual field, namely in the present example, employing 120 high power lens visual field pictures are needed namely can to cover whole focal plane.
And according to the method that the embodiment of the present invention provides, user can arrange the maximum number N that takes pictures of high power lens (0 < N≤L*H) before startup inspection, such as, this maximum number N that takes pictures can be set to 15 in one example in which, such high power lens is when tracking is taken pictures, can to take pictures number as the actual tracking of high power lens according to the number of taking pictures arranged, can ensure that statistics of taking pictures is carried out in the target visual field selecting numbers of particles maximum within the limited time.Then the method applied in the present invention comprises the steps:
First, low power lens is adopted to take pictures to whole focussing plane, the low-power field picture then collected under low power lens is L(10), after low power lens has been taken pictures, by the analysis to low-power field picture, can filter out in which picture and contain target particles, can know all there is target particles from Fig. 7 in 10 low-power field pictures.
Then, target particles is decomposed in all high power lens visuals field of whole focussing plane, and calculates the target particles number comprised in each high power lens visual field.Particularly, in first low visual field picture first, 6 and 7 target particles are contained respectively in the 8th high power lens area of visual field; Containing 5 target particles in the 8th high area of visual field in like manner in second low visual field picture; In the 3rd low visual field picture first, 6 and 8 target particles are contained respectively in the 8th high power lens area of visual field.Successively, all information comprising the high power lens area of visual field of target particles can be obtained.Count and have the high power lens area of visual field that 20 include target particles, and the concrete quantity of target particles contained by each high power lens area of visual field.
The maximum number N(15 that takes pictures of high power lens that high power lens visual field sum (20) whole focussing plane being included target particles number is arranged with user) compare.Because sum is greater than the maximum number of taking pictures of the high power lens pre-set, then to all high power lens area of visual field that there is target particles, according to target the quantity of particle sorts from big to small, there is the high power lens area of visual field of target particles as target high power lens area of visual field in selected N number of (15) being wherein in prostatitis, and obtain corresponding positional information, wherein, this positional information can be the coordinates matrix information of each high power lens area of visual field, such as, be the horizontal ordinate of each high power lens area of visual field and the scope of ordinate; Or, can be numbered each high power lens area of visual field in advance, and store the coordinates matrix information of each high power lens area of visual field, as long as obtain the number information of high power lens area of visual field, then can obtain the coordinates matrix information of its correspondence easily.
Then, according to the positional information in this N number of (15) target high power field region, adopt high power lens to take pictures at the region place of correspondence position on the sample of focal plane, obtain N and open (15) high power lens visual field picture.Then follow-up statistical treatment work is carried out.
Implement the embodiment of the present invention, there is following beneficial effect:
In embodiments of the present invention, according to the requirement of user to proving time, the maximum number of taking pictures of high power lens can be pre-set.By to each high power lens area of visual field navigated under low power lens containing target particles number number, determine the high power lens area of visual field needing to carry out taking pictures, then adopt high power lens to carry out tracking to these corresponding area of visual field places in focal plane to take pictures, this ensure that statistics of taking pictures is carried out in the region that select target numbers of particles is maximum within the limited time, while saving the time of taking pictures, the accuracy that ensure that Sample of maximum possible.
One of ordinary skill in the art will appreciate that all or part of step realized in above-described embodiment method is that the hardware that can carry out instruction relevant by program has come, program can be stored in a computer read/write memory medium, storage medium, as ROM/RAM, disk, CD etc.
These are only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (11)
1. a microscope locating and tracking formation method, is characterized in that, comprises the following steps:
Analyze by low-power microscope to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles;
The low-power field picture each being existed target particles is divided into multiple high power lens area of visual field, obtains all high power lens area of visual field that there is target particles, and selected target high power field region wherein also obtains the positional information in each target high power field region;
According to the positional information in described each target high power field region, adopt high-power microscope to take pictures at the region place of correspondence position on the sample of focal plane, obtain high power lens visual field picture.
2. the method for claim 1, it is characterized in that, the described low-power field picture each being existed target particles is divided into multiple high power lens area of visual field, obtain all high power lens area of visual field that there is target particles, selected target high power field region wherein the step obtaining the positional information in each target high power field region comprise further:
According to the multiplying power relation of described low-power microscope and described high-power microscope, the low-power field picture each being existed target particles is divided into multiple high power lens area of visual field;
Identify each and there is the high power lens area of visual field that there is target particles in the low-power field picture of target particles, and obtain its positional information;
There is selected target high power field region the high power lens area of visual field of target particles from all, and obtain the positional information in each target high power field region.
3. method as claimed in claim 2, it is characterized in that, described exist selected target high power field region the high power lens area of visual field of target particles from all, and the step obtaining the positional information in each target high power field region comprises further:
By described all there is the high power lens area of visual field of target particles sum and a maximum number of taking pictures of high power lens preset compare;
If described sum is less than or equal to described maximum number of taking pictures, then described all high power lens area of visual field that there is target particles is chosen to be target high power field region, and obtains the positional information in each target high power field region;
If described sum is greater than described maximum number of taking pictures, then the quantity of the described high power lens area of visual field that there is target particles according to target particle is sorted from big to small, the high power lens area of visual field that the selected maximum number of taking pictures being in prostatitis exists target particles is target high power field region, and obtains the positional information in each target high power field region.
4. method as claimed in claim 3, it is characterized in that, described maximum number of taking pictures is less than the sum of all high power lens area of visual field of described focal plane.
5. the method as described in any one of Claims 1-4, is characterized in that, described positional information is the coordinates matrix information of each high power lens area of visual field.
6. a microscope locating and tracking imaging device, is characterized in that, comprising:
Low-power field picture analyzing unit, for analyze by low-power microscope to the sample of focal plane sequentially take pictures obtain multiple low-power field pictures, determine the low-power field picture that wherein there is target particles;
Target high power field area determination unit, for each low-power field picture that there is target particles determined for described low power lens photographing unit is divided into multiple high power lens area of visual field, obtain all high power lens area of visual field that there is target particles, selected target high power field region wherein also obtains the positional information in each target high power field region;
High power lens photographing unit, for the positional information in each target high power field region of having selected unit to determine according to described target high power field region, adopt high-power microscope to take pictures at the region place of correspondence position on the sample of focal plane, obtain high power lens visual field picture.
7. device as claimed in claim 6, it is characterized in that, described target high power field area determination unit comprises further:
Division unit, for being divided into multiple high power lens area of visual field by each low-power field picture that there is target particles determined for described low power lens photographing unit;
, there is for identifying each the high power lens area of visual field that there is target particles in the low-power field picture of target particles, and obtain its positional information in recognition unit;
Sequencing unit, for sorting from big to small to the quantity of described all high power lens area of visual field that there is target particles according to target particle;
, there is selected target high power field region the high power lens area of visual field of target particles from all, and obtain the positional information in each target high power field region in selected unit.
8. device as claimed in claim 7, it is characterized in that, described selected unit comprises further:
Comparing unit, by described all there is the high power lens area of visual field of target particles sum and a maximum number of taking pictures of high power lens preset compare;
Comparative result processing unit, if described sum is less than or equal to described maximum number of taking pictures, is then chosen to be target high power field region by described all high power lens area of visual field that there is target particles, and obtains the positional information in each target high power field region; If described sum is greater than described maximum number of taking pictures, then selected after described sequencing unit sequence, the high power lens area of visual field that the maximum number of taking pictures being in prostatitis exists target particles is target high power field region, and obtains the positional information in each target high power field region.
9. device as claimed in claim 8, it is characterized in that, described maximum number of taking pictures is less than the sum of all high power lens area of visual field of described focal plane.
10. the device as described in any one of claim 1-9, is characterized in that, described positional information is the coordinates matrix information of each high power lens area of visual field.
11. 1 kinds of urinal systems, it includes low-power microscope and high-power microscope, it is characterized in that, comprises the microscope locating and tracking imaging device as described in any one of claim 6-10 further.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410295598.1A CN105223110B (en) | 2014-06-27 | 2014-06-27 | A kind of microscope locating and tracking imaging method, device and urinal system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410295598.1A CN105223110B (en) | 2014-06-27 | 2014-06-27 | A kind of microscope locating and tracking imaging method, device and urinal system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105223110A true CN105223110A (en) | 2016-01-06 |
| CN105223110B CN105223110B (en) | 2018-10-30 |
Family
ID=54992186
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410295598.1A Active CN105223110B (en) | 2014-06-27 | 2014-06-27 | A kind of microscope locating and tracking imaging method, device and urinal system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105223110B (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110208190A (en) * | 2019-07-17 | 2019-09-06 | 四川沃文特生物技术有限公司 | A kind of method and system for sediments microscope inspection tracking |
| CN110231708A (en) * | 2019-05-21 | 2019-09-13 | 北京深睿博联科技有限责任公司 | Microscope control method and device based on intelligent image analysis |
| CN110361382A (en) * | 2018-12-29 | 2019-10-22 | 上海北昂医药科技股份有限公司 | A kind of chromosome scanning imaging system |
| CN110411926A (en) * | 2019-07-31 | 2019-11-05 | 长沙协大生物科技有限公司 | A method of Non-Gaussian Distribution concentration of cell suspension is estimated by small sampled data |
| CN110836891A (en) * | 2018-08-17 | 2020-02-25 | 湖南爱威医疗科技有限公司 | Method, device and equipment for realizing rapid microscopic examination and computer readable storage medium |
| CN110927158A (en) * | 2019-10-31 | 2020-03-27 | 湖南爱威医疗科技有限公司 | Image acquisition method and device, microscope system and computer readable storage medium |
| CN111289510A (en) * | 2018-12-07 | 2020-06-16 | 苏州迈瑞科技有限公司 | In-vitro diagnostic apparatus, image switching method, and readable storage medium |
| CN112712491A (en) * | 2019-10-25 | 2021-04-27 | 苏州迈瑞科技有限公司 | Urine detection method, urine detection device and computer-readable storage medium |
| CN112752014A (en) * | 2019-10-31 | 2021-05-04 | 苏州迈瑞科技有限公司 | Urine detection method, urine detection device and computer-readable storage medium |
| WO2021102949A1 (en) * | 2019-11-29 | 2021-06-03 | 深圳迈瑞生物医疗电子股份有限公司 | Cell morphology analysis device, cell recognition method, and storage medium |
| CN113139485A (en) * | 2021-04-29 | 2021-07-20 | 新乡医学院 | Bone marrow cell classification and identification method, device and system based on deep learning |
| WO2022041149A1 (en) * | 2020-08-28 | 2022-03-03 | 苏州迈瑞科技有限公司 | Urine analyzer, method for detecting bacteria in urine, and storage medium |
| CN117129029A (en) * | 2023-10-26 | 2023-11-28 | 昂坤视觉(北京)科技有限公司 | Chip detection method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06222281A (en) * | 1993-01-22 | 1994-08-12 | Olympus Optical Co Ltd | Microscopic remote observation system |
| US6091842A (en) * | 1996-10-25 | 2000-07-18 | Accumed International, Inc. | Cytological specimen analysis system with slide mapping and generation of viewing path information |
| CN102305791A (en) * | 2011-07-19 | 2012-01-04 | 南昌百特生物高新技术股份有限公司 | Slide specimen image acquiring method |
| CN102566035A (en) * | 2010-12-03 | 2012-07-11 | 索尼公司 | Image processing method, image processing apparatus, and image processing program |
-
2014
- 2014-06-27 CN CN201410295598.1A patent/CN105223110B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06222281A (en) * | 1993-01-22 | 1994-08-12 | Olympus Optical Co Ltd | Microscopic remote observation system |
| US6091842A (en) * | 1996-10-25 | 2000-07-18 | Accumed International, Inc. | Cytological specimen analysis system with slide mapping and generation of viewing path information |
| CN102566035A (en) * | 2010-12-03 | 2012-07-11 | 索尼公司 | Image processing method, image processing apparatus, and image processing program |
| CN102305791A (en) * | 2011-07-19 | 2012-01-04 | 南昌百特生物高新技术股份有限公司 | Slide specimen image acquiring method |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110836891A (en) * | 2018-08-17 | 2020-02-25 | 湖南爱威医疗科技有限公司 | Method, device and equipment for realizing rapid microscopic examination and computer readable storage medium |
| CN111289510A (en) * | 2018-12-07 | 2020-06-16 | 苏州迈瑞科技有限公司 | In-vitro diagnostic apparatus, image switching method, and readable storage medium |
| CN111289510B (en) * | 2018-12-07 | 2024-04-09 | 深圳迈瑞生物医疗电子股份有限公司 | In-vitro diagnostic device, image switching method, and readable storage medium |
| CN110361382A (en) * | 2018-12-29 | 2019-10-22 | 上海北昂医药科技股份有限公司 | A kind of chromosome scanning imaging system |
| CN110231708A (en) * | 2019-05-21 | 2019-09-13 | 北京深睿博联科技有限责任公司 | Microscope control method and device based on intelligent image analysis |
| CN110208190A (en) * | 2019-07-17 | 2019-09-06 | 四川沃文特生物技术有限公司 | A kind of method and system for sediments microscope inspection tracking |
| CN110411926B (en) * | 2019-07-31 | 2022-03-08 | 长沙协大生物科技有限公司 | Method for estimating concentration of non-normally distributed cell suspension through small sampling data |
| CN110411926A (en) * | 2019-07-31 | 2019-11-05 | 长沙协大生物科技有限公司 | A method of Non-Gaussian Distribution concentration of cell suspension is estimated by small sampled data |
| CN112712491A (en) * | 2019-10-25 | 2021-04-27 | 苏州迈瑞科技有限公司 | Urine detection method, urine detection device and computer-readable storage medium |
| CN112752014A (en) * | 2019-10-31 | 2021-05-04 | 苏州迈瑞科技有限公司 | Urine detection method, urine detection device and computer-readable storage medium |
| CN110927158A (en) * | 2019-10-31 | 2020-03-27 | 湖南爱威医疗科技有限公司 | Image acquisition method and device, microscope system and computer readable storage medium |
| WO2021102949A1 (en) * | 2019-11-29 | 2021-06-03 | 深圳迈瑞生物医疗电子股份有限公司 | Cell morphology analysis device, cell recognition method, and storage medium |
| WO2022041149A1 (en) * | 2020-08-28 | 2022-03-03 | 苏州迈瑞科技有限公司 | Urine analyzer, method for detecting bacteria in urine, and storage medium |
| CN113139485A (en) * | 2021-04-29 | 2021-07-20 | 新乡医学院 | Bone marrow cell classification and identification method, device and system based on deep learning |
| CN117129029A (en) * | 2023-10-26 | 2023-11-28 | 昂坤视觉(北京)科技有限公司 | Chip detection method and system |
| CN117129029B (en) * | 2023-10-26 | 2024-01-05 | 昂坤视觉(北京)科技有限公司 | Chip detection method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105223110B (en) | 2018-10-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105223110A (en) | A kind of microscope locating and tracking formation method, device and urinal system | |
| JP6453298B2 (en) | System and method for observing and analyzing cytological specimens | |
| US20200141856A1 (en) | Method and system for determining fluorescence intensity of fluorescence image | |
| CN109903282B (en) | Cell counting method, system, device and storage medium | |
| CN108475429B (en) | System and method for segmentation of three-dimensional microscope images | |
| US20220012884A1 (en) | Image analysis system and analysis method | |
| CN114781514A (en) | Floater target detection method and system integrating attention mechanism | |
| CN111932542A (en) | Image identification method and device based on multiple focal lengths and storage medium | |
| CN112597852A (en) | Cell sorting method, cell sorting device, electronic apparatus, and storage medium | |
| US8467590B2 (en) | Microscopy analysis technique | |
| US20210312620A1 (en) | Generating annotation data of tissue images | |
| CN111159150A (en) | Data expansion method and device | |
| CN106033613B (en) | Method for tracking target and device | |
| CN116088158A (en) | Cell image processing system, method, automatic film reading device and storage medium | |
| WO2023031622A1 (en) | System and method for identifying and counting biological species | |
| CN111797832B (en) | Automatic generation method and system for image region of interest and image processing method | |
| EP3385882B1 (en) | Automatically identifying regions of interest on images of biological cells | |
| Zimmer | From microbes to numbers: extracting meaningful quantities from images | |
| CN111684279B (en) | Cell analysis method, cell analysis device and storage medium | |
| Li et al. | A Deep Learning based Method for Microscopic Object Localization and Classification | |
| CN112710590A (en) | Urine detection method, urine detection device and computer-readable storage medium | |
| CN104408738A (en) | Image processing method and system | |
| Monteiro et al. | Applied medical informatics in the detection and counting of erythrocytes and leukocytes through an image segmentation algorithm | |
| CN112991145B (en) | Image generation method, system, electronic device and machine-readable storage medium | |
| CN109919046B (en) | Three-dimensional point cloud feature learning method and device based on relational features |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address |
Address after: Unit 501, Building 218, Sangtian Street, Suzhou Industrial Park, Jiangsu Province Patentee after: SUZHOU MAIRUI TECHNOLOGY Co.,Ltd. Address before: Unit 213-216, A3 Building, 218 Xinghu Street, Suzhou Industrial Park, Jiangsu Province Patentee before: Suzhou Hyssen Electronics Co.,Ltd. |
|
| CP03 | Change of name, title or address | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231218 Address after: 518057 the 1-4 floor of MINDRAY building, science and technology south twelve Road, Nanshan District high tech Industrial Park, Shenzhen, Guangdong. Patentee after: SHENZHEN MINDRAY BIO-MEDICAL ELECTRONICS Co.,Ltd. Address before: Unit 501, Building 218, Sangtian Street, Suzhou Industrial Park, Jiangsu Province Patentee before: SUZHOU MAIRUI TECHNOLOGY Co.,Ltd. |
|
| TR01 | Transfer of patent right |