CN101766476B - Auto-fluorescence molecule imaging system - Google Patents
Auto-fluorescence molecule imaging system Download PDFInfo
- Publication number
- CN101766476B CN101766476B CN2009100885894A CN200910088589A CN101766476B CN 101766476 B CN101766476 B CN 101766476B CN 2009100885894 A CN2009100885894 A CN 2009100885894A CN 200910088589 A CN200910088589 A CN 200910088589A CN 101766476 B CN101766476 B CN 101766476B
- Authority
- CN
- China
- Prior art keywords
- image
- ccd camera
- auto
- fluorescence molecule
- fluoroscopic
- 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
- 238000003384 imaging method Methods 0.000 title description 4
- 238000012545 processing Methods 0.000 claims abstract description 38
- 238000004458 analytical method Methods 0.000 claims abstract description 20
- 230000002452 interceptive effect Effects 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 23
- 230000008569 process Effects 0.000 claims description 18
- 230000006870 function Effects 0.000 claims description 13
- 230000003287 optical effect Effects 0.000 claims description 11
- 230000008859 change Effects 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000012217 deletion Methods 0.000 claims description 5
- 230000037430 deletion Effects 0.000 claims description 5
- 238000002073 fluorescence micrograph Methods 0.000 claims description 5
- 230000011664 signaling Effects 0.000 claims description 5
- 230000009286 beneficial effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 4
- 230000001965 increasing effect Effects 0.000 claims description 4
- 230000011218 segmentation Effects 0.000 claims description 4
- 238000007726 management method Methods 0.000 claims description 3
- 238000004540 process dynamic Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000001131 transforming effect Effects 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 230000005764 inhibitory process Effects 0.000 claims description 2
- 238000012986 modification Methods 0.000 claims description 2
- 230000004048 modification Effects 0.000 claims description 2
- 230000002829 reductive effect Effects 0.000 claims description 2
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 241001465754 Metazoa Species 0.000 abstract description 6
- 238000002474 experimental method Methods 0.000 abstract description 4
- 238000011160 research Methods 0.000 abstract description 2
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 16
- 239000007788 liquid Substances 0.000 description 8
- 229910052757 nitrogen Inorganic materials 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 241000699666 Mus <mouse, genus> Species 0.000 description 5
- 210000004027 cell Anatomy 0.000 description 5
- 108060001084 Luciferase Proteins 0.000 description 4
- 238000000799 fluorescence microscopy Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
- 210000001519 tissue Anatomy 0.000 description 3
- 239000005089 Luciferase Substances 0.000 description 2
- 238000013523 data management Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000002059 diagnostic imaging Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- GNBHRKFJIUUOQI-UHFFFAOYSA-N fluorescein Chemical compound O1C(=O)C2=CC=CC=C2C21C1=CC=C(O)C=C1OC1=CC(O)=CC=C21 GNBHRKFJIUUOQI-UHFFFAOYSA-N 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 241000699670 Mus sp. Species 0.000 description 1
- 208000037273 Pathologic Processes Diseases 0.000 description 1
- 241001183271 Verrucomicrobiaceae Species 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000005842 biochemical reaction Methods 0.000 description 1
- 230000031018 biological processes and functions Effects 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 210000000349 chromosome Anatomy 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 230000009054 pathological process Effects 0.000 description 1
- 239000013600 plasmid vector Substances 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Abstract
The invention belongs to an auto-fluorescence molecule image system which comprises a camera bellows, a CCD camera lens control module, an image processing module, an interactive analysis module and a database module. A system factor corrected by an integrating sphere can be converted into a photon density in an interesting area by the system through a pixel value. The system can work after a temperature value of the CCD camera is set and locked. Firstly, the light source in the camera bellows is opened to shoot an outline of a target object, then the light source is closed to capture a fluorescence signal which projects the outline of the detected object, and the signal is superposed with the outline image. User can choose the interesting area by using a selecting tool so as to acquire a photon density value for performing scientific research. The system of the invention can provide a database function for the user to conveniently manage the data and preview the images. The system of the invention has the advantages of reasonable structure, obvious function, convenient operation, low cost, wide application in the field of researching the small animals in non-invasive biologic experiment.
Description
Technical field
The invention belongs to the molecular image technical field, relate to subject knowledges such as optical imagery theory, computer image processing technology, mathematical modeling.It is included in body fluorescence imaging detecting devices, control unit, Flame Image Process and data analysis and management, and especially a whole set of is applicable to that biological subject carries out molecule image system in body, noinvasive scientific research to toy.
Background technology
The auto-fluorescence imaging technology is the emerging in recent years interior optical molecular image technology of living animal body.Archebiosis fluorescence is with luciferase gene labeled cell or DNA, and the plasmid vector that will contain the Fluc gene is incorporated in the cell or cell chromosome DNA goes up with expressing luciferase.Under the situation that ATP and oxygen exist, if inject the substrate fluorescein to living animal, the oxidation reaction that luciferase will the catalysis fluorescein also produces photon.External at living animal, utilize highly sensitive optical detecting instrument, can directly capture the outer photon of effusion animal body, utilize effective fluoroscopic image parser then, just can obtain the physical message of calibrated area-of-interest, and then can draw corresponding conclusion.By above-mentioned this technology, can observe the growth and the biological processes such as transfer, expression of gene and reaction of target body in the living animal body.
The IVIS50 of present U.S. caliper life sciences company, aspect the constituency, visual angle, what provided employing is that four kinds of specific positions are come respectively the head of mice, a mouse, three mouse or five mouse to be carried out imaging.This mode can not adapt to the needs of the testee of different sizes, and when the testee difference in size was very big, accurately choosing of viewing area will can't be satisfied probably in fixed four positions.Aspect data management, it has provided the processing of file formula, but for long-term, great deal of experiment data, file search is inconvenient.
Summary of the invention
The purpose of this invention is to provide cover auto-fluorescence molecule image instrument and equipment and a control system, can finish the analyzing and processing of autofluorescence acquisition of signal, image, and in conjunction with the selected area-of-interest of the selection tool flexibly and obtain corresponding photon amount.Utilize auto-fluorescence molecule image system involved in the present invention to carry out quantitative analysis to the cell or the DNA of biological tissue inside labelling.
For reaching described purpose, auto-fluorescence molecule image system provided by the invention contains:
Image information collection portion, it comprises: CCD camera, camera lens, camera bellows, hoistable platform, CCD camera, camera lens and hoistable platform place camera bellows, and the CCD camera is connected with CCD camera control chamber;
One control part, portion is connected with the image information collection, and control part receives fluorescence image signal and disperse optical signalling; Described control part comprises:
Has a control module, it is connected with the CCD camera control chamber of image information collection portion, control module formation logic sequencing contro, safety interlocking control and sequential control signal, and sending control signal regulates automatically to lifting platform, in order to the requirement of different visual fields size to be provided, again by the lifting of the accurate positioning control hoistable platform of CCD camera control chamber and the switching of camera bellows inner light source, to realize obtaining the image information of different mode;
Has an image processing module, it is connected with the CCD camera control chamber of image information collection portion, reception has under the light situation target object fluoroscopic image under the target object background image and dull thread situation, and the noise of removal or inhibition fluorescence image signal and disperse optical signalling, and to low signal-to-noise ratio, signal a little less than, edge blurry, the fluoroscopic image of poor visibility strengthens, restore, cut apart, add pseudo-color, registration process, extract also output fluoroscopic image interested area information, and the attenuation quotient by photon energy in the optic path system in the image information collection portion of integrating sphere calibration also original pixel value be the accurate photon number density that appears body surface;
Have an interactive analysis module, it is connected with image processing module, utilizes four kinds of operation tools that the target object area-of-interest is carried out the constituency, and image is amplified, dwindles, overturns and to the statistics of each constituency data; Selected fluoroscopic image interested area information is also carried out graphical analysis, generates and export the view data of fluoroscopic image area-of-interest;
Has a DBM, it is connected with the interactive analysis module, background image, fluoroscopic image and result are preserved into data base, and to the view data of fluoroscopic image area-of-interest inquire about, increase, deletion, modification, DB Backup, the reductive management of data base.
Wherein, described CCD camera is a kind of high precision photoelectric detector, and the detection plane of CCD camera is parallel to the hoistable platform at target object place.
Wherein, described different visual fields size be according to known substance apart from, the focal length of CCD camera lens and the minification that the optical imagery theory obtains image distance and image, utilize the minification of the square length of side size in the shared zone of target object on the image and image to calculate the size dimension of realistic objective object shared square area on the target object pallet; Set control hoistable platform position and dynamic adjustments, to change the observation visual field.
Wherein, CCD camera operating temperature is independently set and locking for a long time by control module, control module is by the parameter set or directly adopt default value that temperature setting, time of exposure, the pixel of camera merged specification signal to be sent to CCD camera control chamber, to be finished the initialization of image information collection portion, provided low temperature environment for reducing noise by control module.
Wherein, described have under the light situation under the target object background image and dull thread situation the data acquisition of target object fluoroscopic image select single width obtaining mode or obtaining mode continuously.
Wherein, image processing module comprises the view data that is obtained by the CCD camera or with the function that the image file that file mode is opened performs mathematical calculations and change the position, described position transformation function depends on the MITK Flame Image Process kit to the operation commonly used of Flame Image Process.
Wherein, described image processing module is by transforming the shared byte number of each pixel value and corresponding image file head carries out format conversion to obtaining image, and the picture format after the conversion is so that with other Flame Image Process mode compatibilities.
Wherein, the skew specific image processing module that writes data at described CCD camera is restored obtaining image by the CCD camera after denoising, to correct the image error that is caused by CCD.
Wherein, described fluoroscopic image is cut apart, and is based on the area integral that image histogram is converted into conitnuous forms and determines that threshold value cuts apart fluoroscopic image.
Wherein, described fluoroscopic image through denoising, restore, cut apart, add pseudo-color back and carry out registration with background image after, wherein fluoroscopic image covers background image, and then is superposed to piece image.
Wherein, described to add pseudo-coloured silk be the process dynamic adjustable, adopt Interactive Segmentation with add pseudo-color, up to the observability of satisfaction region-of-interest.
Wherein, image processing module can show the number of photons of mouse position in real time according to the user constituency, is beneficial to the user and understands image information, and the analysis image feature is independently carried out area-of-interest by the user and chosen, and it chooses mode is rectangle, ellipse and polygon.
Wherein, by described data base, image data information is increased, query manipulation is revised in deletion.
Wherein, in described database interface, data are carried out preview, and directly open and enter Flame Image Process and analysis window.
The invention has the beneficial effects as follows: by auto-fluorescence imaging equipment and corresponding data processing algorithm, utilize the standard light source correction coefficient, auto-fluorescence molecule image system can carry out imaging and processing to luciferase gene labeled cell or DNA, can overflow that the position and the intensity of fluorescence is analyzed accurately to organism surface, accurate in locating, quantitative data.Auto-fluorescence molecule image system involved in the present invention can be realized auto-fluorescence imaging technology and data analysis technique.The present invention takes the integrating sphere standard light to proofread and correct and digital image processing method solves the uncertain problem of light in complex biological tissue, detection light path, thereby the fluorescence signal that foundation detects and the corresponding relation of photon amount have improved the precision of system.The present invention is directed to four characteristics of fluoroscopic image: 1, low signal-to-noise ratio; 2, signal weak, 3, edge blurry, 4, poor visibility, the fluoroscopic image partitioning algorithm has newly been proposed.The distribution and the intensity of the biological tissue's surface light that measures by processing are determined position, shape and the intensity of area-of-interest.Auto-fluorescence molecule image system can be detected the unusual of cell and molecular level in the toy pathological process, before the disease of still not having the change of dissecting, detect unusual, be generation, development and the transfer of exploration toy disease, and molecular biological experimentation effective means are provided.
Description of drawings
Fig. 1 is the auto-fluorescence molecule image system sketch map.
Fig. 2 is the auto-fluorescence molecule image system flow chart.
The specific embodiment
The present invention is further described below in conjunction with drawings and Examples.
Auto-fluorescence molecule image system involved in the present invention as shown in Figure 1 comprises that mainly machine drawing is as information gathering portion 1 and 2 two aspects of control part, wherein:
Image information collection portion 1 is made of camera bellows 11, CCD camera 12, camera lens 13, loading hoistable platform 14 and CCD camera control chamber 15, CCD camera 12, camera lens 13 and loading hoistable platform 14 place camera bellows 11, CCD camera 12 is connected with CCD camera control chamber 15, and CCD camera 12 adopts the CCD camera 12 of liquid nitrogen cooling.Camera bellows 11 is made by special material, and its function is fluorescence and an ambient light noise in the shielded box, in camera bellows 11, need obtain and open light source and obtain background image and close light source and obtain fluoroscopic image.
Be provided with light source and loading hoistable platform 14 in the camera bellows 11.Image information collection portion 1 major function is to realize the collection of autofluorescence signal, disperse optical signalling, and the signal that collects is transferred to control part 2, carries out molecular image and handles.CCD camera 12 is a kind of high precision photoelectric detector, and this equipment adopts liquid nitrogen refrigerating, and normal working temperature is-110 ℃.The detection plane of CCD camera 12 is parallel to target object place loading hoistable platform 14, and lifting platform bottom surface color is a black.Loading hoistable platform 14 can the dynamic adjustments object distance, its operation principle is at first moving to far-field position with the testee pallet, and to testee pallet and the imaging of testee profile, cut apart the shared zone of testee then and calculate the size in testee zone, last moving according to the area size's calculating object distance that calculates and by control signal control lift motor arrived best object distance position with the testee pallet, to change the observation visual field.
Control part 2 operates on the computer server, comprises control module 21, image processing module 22, interactive analysis module 23 and DBM 24, wherein:
Control module 21 is driven by control and control operation is partly formed, control module 21 is connected with CCD camera control chamber 15, major function is the lifting of accurate positioning control loading lifting platform 14 and the switching of camera bellows 11 inner light sources, the logical sequence control of realization system, safety interlocking control and workflow sequential control, its function mainly are to call bottom API with high-level language to realize.Independently set and locking for a long time by 21 pairs of CCD camera 12 operating temperatures of control module, control module 21 is by parameter of user or directly adopt default value that temperature setting, time of exposure, the pixel merging specification signal of camera are sent to CCD camera control chamber, finish initialization by control module to the image information acquisition component, provide low temperature environment for reducing noise, guaranteed that simultaneously CCD camera operating temperature can not damage because of the low temperature of liquid nitrogen.
Opening white light obtains background image and closes white light and obtain fluoroscopic image data and can select single width obtaining mode and obtaining mode continuously.Especially at short notice during the real-time detection biochemical reaction, should adopt continuous obtaining mode.
Image processing module comprises by the view data of CCD camera acquisition or the image file of opening, opening from the data base with file mode obtained image being performed mathematical calculations and position transformation function.This function realizes mainly depending on medical imaging kit (MITK), and MITK medical imaging kit has comprised the operation commonly used to Flame Image Process.
Image processing module is by transforming the shared byte number of each pixel value and corresponding image file head carries out format conversion to obtaining image, so as with other picture formats for example tif, bmp so that with other Flame Image Process mode compatibilities.
Write the skew characteristics of data at the CCD camera, image processing module adopts reverse reduction principle to restoring by CCD image that camera obtains, to correct the image error that is caused by CCD camera 12 after denoising.
Image processing module 22 purposes are to remove or suppress noise, improve signal to noise ratio and finish image enhancing, cut apart, add pseudo-color, registration process, realizing the accurate extraction of area-of-interest, and obtain photon number density thus and then analyse scientifically.Fluoroscopic image is cut apart, be based on area integral fluoroscopic image is cut apart.Image processing module can show the number of photons of mouse position in real time according to the user constituency, is beneficial to the user and understands image information, the analysis image feature.It adds pseudo-coloured silk and the process dynamic adjustable of cutting apart, and adopts Interactive Segmentation and adds pseudo-coloured silk, up to the observability of satisfaction region-of-interest.Integrating sphere calibration is through finally accepted and transform photon attenuation coefficient that attenuation that optical signal is a photon the signal of telecommunication forward process and inversion quantity determine system by the CCD camera through certain light path and thus according to the anti-push-jump photon number density that turns to of the gray level image that obtains from the light that appears the toy body surface in whole system.Four characteristics at fluoroscopic image: low signal-to-noise ratio, signal are weak, the characteristics of edge blurry, poor visibility strengthen, restore, cut apart, add pseudo-color the processing to it, and carry out registration with background image, and fluoroscopic image covers background image, and then is superposed to piece image.
Interactive analysis module 23 mainly provides a series of necessary image analysis algorithm and instrument.Independently carry out area-of-interest by the user and choose, it chooses mode is rectangle, ellipse and polygon.The user can according to concrete needs to image amplify, dwindle, translation and upset.
DBM 24 manages for the view data after gathering, handling.By basic increasing, delete, look into, change and corresponding preview function, positioning image from image data base easily.Database Backup and restoring function provide assurance for the safety of data information simultaneously.By Database Systems, image data information is increased, query manipulation is revised in deletion.In database interface, data are carried out preview, and directly open and enter Flame Image Process and analysis window.
Control part 2 major functions are carried out Treatment Analysis and management to image exactly.
As shown in Figure 1.Image information collection portion 1 and control part 2 in the equipment link together by data/address bus and control bus.
Auto-fluorescence molecule image system flow chart as shown in Figure 2, system must can carry out following operation according to adopting after the photon attenuation amount is calibrated in the light path through integrating sphere.The use operation of auto-fluorescence molecule image system comprises the steps:
Step 1: at first start system of the present invention, open CCD camera control chamber, transmit control signal to CCD camera control chamber by control module 21, if it is unimpeded that bus connects, then set the operating temperature success of CCD camera, and, show CCD camera temperature in real time from CCD camera control chamber feedback temperature signal.Beginning is injected about 5L liquid nitrogen behind the design temperature in CCD camera Dewar flask.This laboratory passes through operation manually when using this invention, adopt inflator to press the liquid nitrogen in the liquid nitrogen container slowly to enter CCD camera Dewar flask, when arriving design temperature, temperature automatically system of the present invention is locked (generally needing 70 minutes consuming time), remove liquid nitrogen container after the locking, cover CCD camera Dewar bottle cap, prevent the liquid nitrogen outflow when different placement location of CCD camera, camera is placed camera hole on the camera bellows, and carefully adjust camera position, light can not be leaked from the camera hole be mapped to the camera bellows.After finishing, step 1 just can carry out following step.
Step 2: set the parameter of obtaining image, control module 21 transmits control signal to CCD camera control chamber, determines time of exposure, the merging form of image data acquisition in the CCD chip.When camera obtained the view data mouth then according to the form of setting to image processing module transmitted image data.In order to distinguish background image and fluoroscopic image, the present invention has carried out the image model demarcation to output image simultaneously, and fluoroscopic image is that 1 White-light image is 0.The parameter information of setting will be deposited in the header file of SPE picture format, and parameter is necessary for the subsequent calculations photon number density.
Step 3: obtain image, adopt the single width pattern generally speaking, then select continuous mode as the needs real-time monitored.The user needs respectively under camera bellows 11 is turned on light situation shot object outline drawing picture and camera bellows 11 to turn off the light and gathers the autofluorescence image under the situation.CCD camera control chamber then formats image according to the parameter that image is obtained in setting, and exports to image processing module.Target object outline drawing picture and fluoroscopic image are necessary, and require target object position, attitude not to change.
Step 4: after image data acquiring was intact, system sent into data image processing module 22 automatically.The mode of view data being sent into image processing module 22 also can be by mode of opening file and database mode.When opening existing file, at first judge image type, be divided into three kinds: background mode 0, fluorescence mode 1, default mode 2; Background mode 0 and fluorescence mode 1 dual mode are used to open to be gathered with Hardware Subdivision 1 but its image type is not carried out the view data of labelling, and the view data of view data having been carried out labelling can get final product with default mode.
Step 5: image processing module 22 comprises Image Restoration Algorithm.The data that step 4 is gathered enter image processing module at first will carry out the offset error that caused when image restoration is write out view data to correct by CCD camera 12.Image processing module also comprises and cutting apart, adds pseudo-color, registration.The processing procedure of fluoroscopic image is different with the processing procedure of background image.The processing links of fluoroscopic image comprises and cutting apart, adds pseudo-coloured silk and additive process, wherein cut apart and add pseudo-color algorithm dynamic adjustable, the present invention is directed to the weak characteristics of fluorescence image signal, the difficult selected problem of area-of-interest, automatic division method is provided, and this method can obtain to cut apart the preferable result who answers region-of-interest.Background image then only carries out simple gray value stretch processing.Background image after the processing and fluoroscopic image carry out registration process, and come to determine the accurate position of area-of-interest at target object successively.
Step 6: interactive analysis module 23 comprises to be chosen area-of-interest and number of photons and calculates, at first by the user according to the suitable the selection tool in area-of-interest shape constituency, the invention provides three kinds of patterns, rectangle, ellipse, polygon; Manually choose area-of-interest then, system provides photon number density automatically above choosing area-of-interest, and with this experiment Analysis, when the emerging zone of a plurality of senses, the present invention can provide the photon number density of used area-of-interest.The invention provides image amplification, dwindle, Move tool, the user can operate according to concrete demand.The user can carry out data analysis according to result, simultaneously according to the analysis result choice that decision provides image of whether being satisfied with.
Step 7: after experiment finishes, reset the temperature (25 ℃) of CCD camera 12, just can close camera control chamber 15 power supplys after equitemperature locks once more, shut down computer.
The above; only be the specific embodiment among the present invention; but protection scope of the present invention is not limited thereto; anyly be familiar with the people of this technology in the disclosed technical scope of the present invention; can understand conversion or the replacement expected; all should be encompassed in of the present invention comprising within the scope, therefore, protection scope of the present invention should be as the criterion with the protection domain of claims.
Claims (14)
1. auto-fluorescence molecule image system, the image information collection portion of this system comprises: CCD camera, camera lens, camera bellows, hoistable platform, CCD camera, camera lens and hoistable platform place camera bellows, the CCD camera is connected with CCD camera control chamber, it is characterized in that, also comprises:
One control part, portion is connected with the image information collection, and control part receives fluorescence image signal and disperse optical signalling; Described control part comprises:
Has a control module, it is connected with the CCD camera control chamber of image information collection portion, control module formation logic sequencing contro, safety interlocking control and sequential control signal, and sending control signal regulates automatically to lifting platform, in order to the requirement of different visual fields size to be provided, again by the lifting of the accurate positioning control hoistable platform of CCD camera control chamber and the switching of camera bellows inner light source, to realize obtaining the image information of different mode;
Has an image processing module, it is connected with the CCD camera control chamber of image information collection portion, reception has under the light situation target object fluoroscopic image under the target object background image and dull thread situation, and the noise of removal or inhibition fluorescence image signal and disperse optical signalling, and to low signal-to-noise ratio, signal a little less than, edge blurry, the fluoroscopic image of poor visibility strengthens, restore, cut apart, add pseudo-color, registration process, extract also output fluoroscopic image interested area information, and the attenuation quotient by photon energy in the optic path system in the image information collection portion of integrating sphere calibration also original pixel value be the accurate photon number density that appears body surface;
Have an interactive analysis module, it is connected with image processing module, utilizes four kinds of operation tools that the target object area-of-interest is carried out the constituency, and image is amplified, dwindles, overturns and to the statistics of each constituency data; Selected fluoroscopic image interested area information is also carried out graphical analysis, generates and export the view data of fluoroscopic image area-of-interest;
Has a DBM, it is connected with the interactive analysis module, background image, fluoroscopic image and result are preserved into data base, and to the view data of fluoroscopic image area-of-interest inquire about, increase, deletion, modification, DB Backup, the reductive management of data base.
2. auto-fluorescence molecule image system as claimed in claim 1 is characterized in that, described CCD camera is a kind of high precision photoelectric detector, and the detection plane of CCD camera is parallel to the hoistable platform at target object place.
3. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, described different visual fields size be according to known substance apart from, the focal length of CCD camera lens and the minification that the optical imagery theory obtains image distance and image, utilize the minification of the square length of side size in the shared zone of target object on the image and image to calculate the size dimension of realistic objective object shared square area on the target object pallet; Set control hoistable platform position and dynamic adjustments, to change the observation visual field.
4. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, CCD camera operating temperature is independently set and locking for a long time by control module, control module is by the parameter set or directly adopt default value that temperature setting, time of exposure, the pixel of camera merged specification signal to be sent to CCD camera control chamber, to be finished the initialization of image information collection portion, provided low temperature environment for reducing noise by control module.
5. auto-fluorescence molecule image system as claimed in claim 1 is characterized in that, described have under the light situation under the target object background image and dull thread situation the data acquisition of target object fluoroscopic image select single width obtaining mode or obtaining mode continuously.
6. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, image processing module comprises the view data that is obtained by the CCD camera or with the function that the image file that file mode is opened performs mathematical calculations and change the position, described position transformation function depends on the MITK Flame Image Process kit to the operation commonly used of Flame Image Process.
7. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, described image processing module is by transforming the shared byte number of each pixel value and corresponding image file head carries out format conversion to obtaining image, picture format after the conversion is so that with other Flame Image Process mode compatibilities.
8. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, the skew specific image processing module that writes data at described CCD camera is restored obtaining image by the CCD camera after denoising, to correct the image error that is caused by CCD.
9. auto-fluorescence molecule image system as claimed in claim 1 is characterized in that described fluoroscopic image is cut apart, and is based on area integral that rectangular histogram is converted into conitnuous forms and determines that segmentation threshold cuts apart fluoroscopic image.
10. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, described fluoroscopic image through denoising, restore, cut apart, add pseudo-color back and carry out registration with background image after, wherein fluoroscopic image covers background image, and then is superposed to piece image.
11. auto-fluorescence molecule image system as claimed in claim 1 is characterized in that, described to add pseudo-coloured silk be the process dynamic adjustable, adopt Interactive Segmentation with add pseudo-color, up to the observability of satisfaction region-of-interest.
12. auto-fluorescence molecule image system as claimed in claim 1, it is characterized in that, image processing module can show the number of photons of mouse position in real time according to the user constituency, be beneficial to the user and understand image information, the analysis image feature, independently carry out area-of-interest by the user and choose, it chooses mode is ellipse and polygon.
13. auto-fluorescence molecule image system as claimed in claim 1 is characterized in that, by described data base, image data information is increased, query manipulation is revised in deletion.
14. auto-fluorescence molecule image system as claimed in claim 1 is characterized in that, in database interface data is carried out preview, and directly opens and enter Flame Image Process and analysis window.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100885894A CN101766476B (en) | 2009-07-08 | 2009-07-08 | Auto-fluorescence molecule imaging system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100885894A CN101766476B (en) | 2009-07-08 | 2009-07-08 | Auto-fluorescence molecule imaging system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101766476A CN101766476A (en) | 2010-07-07 |
| CN101766476B true CN101766476B (en) | 2011-05-11 |
Family
ID=42499691
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009100885894A Active CN101766476B (en) | 2009-07-08 | 2009-07-08 | Auto-fluorescence molecule imaging system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101766476B (en) |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102048525B (en) * | 2011-01-26 | 2012-05-30 | 浙江大学 | Organism fluorescent three-dimensional imaging system and application thereof |
| CN102151122B (en) * | 2011-03-17 | 2012-12-19 | 中国科学院自动化研究所 | Laser fluorescent molecular imaging system and first fluorescent imaging method |
| JP5878756B2 (en) * | 2011-12-28 | 2016-03-08 | 浜松ホトニクス株式会社 | Image processing apparatus, imaging apparatus, microscope apparatus, image processing method, and image processing program |
| CN102764108A (en) * | 2012-07-26 | 2012-11-07 | 中国科学院自动化研究所 | Remote intelligent molecular imaging system and application method thereof |
| US9135694B2 (en) * | 2012-12-04 | 2015-09-15 | General Electric Company | Systems and methods for using an immunostaining mask to selectively refine ISH analysis results |
| JP6198426B2 (en) * | 2013-03-29 | 2017-09-20 | 浜松ホトニクス株式会社 | Fluorescence observation apparatus and fluorescence observation method |
| CN103323410A (en) * | 2013-05-24 | 2013-09-25 | 暨南大学 | A device and a method based on a liquid-crystal filtering device for microscopic spectral imaging |
| CN103536277B (en) * | 2013-10-30 | 2015-04-22 | 中南民族大学 | Automated ultra-weak light imaging system and operation method |
| KR101613418B1 (en) * | 2014-05-29 | 2016-04-21 | 주식회사 고영테크놀러지 | Optical tracking system and method of calculating orientation and location of marker part of optical tracking system |
| CN104181142A (en) * | 2014-09-19 | 2014-12-03 | 中国科学院自动化研究所 | Molecular image imaging verification system and method |
| CN105447876B (en) * | 2015-12-10 | 2017-02-15 | 北京中科紫鑫科技有限责任公司 | DNA sequencing image magnetic bead extracting method and apparatus |
| EP3387616B1 (en) * | 2015-12-10 | 2019-10-16 | QIAGEN GmbH | Object classification in digital images |
| CN107274407B (en) * | 2017-08-11 | 2023-07-18 | 长春理工大学 | Steel ball accurate counting and size identifying device and method |
| WO2019203193A1 (en) * | 2018-04-17 | 2019-10-24 | 富士フイルム株式会社 | Imaging system, imaging method, and program |
| CN108451508B (en) * | 2018-04-28 | 2020-05-05 | 中国科学院自动化研究所 | Biological autofluorescence three-dimensional imaging method based on multilayer perceptron |
| CN112051250B (en) * | 2020-09-09 | 2021-11-23 | 南京诺源医疗器械有限公司 | Medical fluorescence imaging image light supplement adjusting system and adjusting method |
| CN112022109B (en) * | 2020-11-06 | 2021-03-09 | 南京诺源医疗器械有限公司 | Medical fluorescence imaging image data acquisition system and acquisition method thereof |
-
2009
- 2009-07-08 CN CN2009100885894A patent/CN101766476B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN101766476A (en) | 2010-07-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101766476B (en) | Auto-fluorescence molecule imaging system | |
| Perez-Sanz et al. | Plant phenomics: An overview of image acquisition technologies and image data analysis algorithms | |
| Yun et al. | Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach | |
| Guo et al. | Crop 3D—a LiDAR based platform for 3D high-throughput crop phenotyping | |
| JP2021511901A (en) | Wound imaging and analysis | |
| Omasa et al. | 3D lidar imaging for detecting and understanding plant responses and canopy structure | |
| Liu et al. | A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification | |
| Apostol et al. | Species discrimination and individual tree detection for predicting main dendrometric characteristics in mixed temperate forests by use of airborne laser scanning and ultra-high-resolution imagery | |
| Lati et al. | Robust methods for measurement of leaf-cover area and biomass from image data | |
| AU2020395845A1 (en) | System and method for determining damage on crops | |
| AU2018304729A1 (en) | Active illumination 2D and/or 3D imaging device for agriculture | |
| Liu et al. | Development of a machine vision system for weed detection during both of off-season and in-season in broadacre no-tillage cropping lands | |
| Aslahishahri et al. | From RGB to NIR: Predicting of near infrared reflectance from visible spectrum aerial images of crops | |
| Tillett et al. | A field assessment of a potential method for weed and crop mapping on the basis of crop planting geometry | |
| Tiede et al. | Process oriented object-based algorithms for single tree detection using laser scanning | |
| Guarneri et al. | 3D remote colorimetry and watershed segmentation techniques for fresco and artwork decay monitoring and preservation | |
| CN202267464U (en) | Mobile phone based device for rapidly detecting blade area | |
| Lai et al. | Real-time detection of ripe oil palm fresh fruit bunch based on YOLOv4 | |
| Xu et al. | Detecting white cotton bolls using high-resolution aerial imagery acquired through unmanned aerial system | |
| CN113554691A (en) | Plant height measuring method | |
| CN108392180B (en) | Time intensity curve measuring device | |
| CA3106463A1 (en) | Information processing apparatus, information processing method, and program | |
| Biffi et al. | Evaluating the performance of a semi-automatic apple fruit detection in a high-density orchard system using low-cost digital rgb imaging sensor | |
| US20210110539A1 (en) | Optical imaging system and related apparatus, method and computer program | |
| CN115244575A (en) | Quantifying biological damage to plants by separating plant images and subsequently operating convolutional neural networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |