CN104181142A - Molecular image imaging verification system and method - Google Patents
Molecular image imaging verification system and method Download PDFInfo
- Publication number
- CN104181142A CN104181142A CN201410482618.6A CN201410482618A CN104181142A CN 104181142 A CN104181142 A CN 104181142A CN 201410482618 A CN201410482618 A CN 201410482618A CN 104181142 A CN104181142 A CN 104181142A
- Authority
- CN
- China
- Prior art keywords
- image
- camera
- white
- auto segmentation
- light
- 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.)
- Pending
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012795 verification Methods 0.000 title claims abstract description 20
- 230000011218 segmentation Effects 0.000 claims abstract description 55
- 238000012545 processing Methods 0.000 claims abstract description 25
- 230000005284 excitation Effects 0.000 claims abstract description 20
- 230000008014 freezing Effects 0.000 claims abstract description 15
- 238000007710 freezing Methods 0.000 claims abstract description 15
- 239000013307 optical fiber Substances 0.000 claims abstract description 11
- 238000007781 pre-processing Methods 0.000 claims description 30
- 239000003086 colorant Substances 0.000 claims description 21
- 238000004458 analytical method Methods 0.000 claims description 18
- 230000003287 optical effect Effects 0.000 claims description 13
- 238000012937 correction Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000002073 fluorescence micrograph Methods 0.000 abstract 2
- 230000008569 process Effects 0.000 description 8
- 108090000623 proteins and genes Proteins 0.000 description 8
- 201000010099 disease Diseases 0.000 description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 210000001519 tissue Anatomy 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 230000005281 excited state Effects 0.000 description 2
- 238000001506 fluorescence spectroscopy Methods 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 208000037273 Pathologic Processes Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000010876 biochemical test Methods 0.000 description 1
- 230000010261 cell growth Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009509 drug development Methods 0.000 description 1
- 230000005274 electronic transitions Effects 0.000 description 1
- 230000005283 ground state Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 230000010534 mechanism of action Effects 0.000 description 1
- 238000004452 microanalysis Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 239000003068 molecular probe Substances 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 239000002547 new drug Substances 0.000 description 1
- 230000009054 pathological process Effects 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 210000004872 soft tissue Anatomy 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
Landscapes
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention relates to a molecular image imaging verification system and a molecular image imaging verification method. The system comprises an image acquisition part and an image processing part, wherein the image acquisition part comprises the structures that a cabinet body of a freezing microtome is connected with an acquisition device bracket; the acquisition device bracket is connected with a camera sliding device; the camera sliding device is connected with a camera bracket; the camera bracket is connected with a camera; an adapter of the camera is connected with an adapter of a camera lens; a light inlet of the camera lens is connected with a transmitting light filter bracket; a transmitting light filter is embedded into a clamping groove of the transmitting light filter bracket; an excitation light source outlet is connected with one end of an optical fiber; the other end of the optical fiber faces an observed object; and the image processing part comprises an image processing system. According to the system and the method, slicing measurement of the cross section of a to-be-detected object can be finished, the operations of white light image acquisition, fluorescence image acquisition, white light image addition, automatic fluorescence image segmentation, counting of photon number in a segmentation area and measurement of geometrical information in a fluorescence area, and the operation steps and operation procedures are simplified.
Description
Technical field
The present invention relates to molecular imaging technical field, relate in particular to a kind of molecular image imaging verification system and the method for combination freezing microtome and CCD camera
Background technology
Along with developing rapidly of genomics, protein science and disease genomics, the diagnosis of disease is characterizing from traditional disease and is observing, conventional biochemical test detects, develop into the microscopic feature understanding of several genes and molecular level, wherein utilize the molecule shadow imaging technique can be from generation, the evolution of gene, protein level heightened awareness disease, can realize integral body, continuous, noninvasive specific detection method that existing micro-analysis cannot replace, biology will provide brand-new prevention, diagnosis and treatment means in body molecular imaging theory and technology thereof.With traditional medical science shadow imaging technique comparatively speaking, molecular imaging learns that the basis that is conceived to form disease or pathology changes and gene molecule level abnormal, rather than the net result consisting of gene molecule change is carried out to imaging.Under the help of special molecular probe, molecular imaging technology can on cell, gene and molecular level, realize biosome internal physiological or pathologic process without the real-time dynamically imaging in vivo of wound, thereby grow and the research such as the mechanism of action of mutation process, new drug development provides the means of detailed qualitative, location, quantitative data and effective acquisition of information and analyzing and processing for disease related gene functional localization, Growth of Cells.
The principle of fluorescence excitation imaging can be described as: in the time of on external source illumination is mapped to the biological tissue of fluorophore, fluorophore absorbs luminous energy and makes electronic transition arrive excited state, electronics can discharge fluorescence from excited state is got back to the process of ground state, the light that this fluorescence absorbs moves to red end, the fluorescence of transmitting is lower than the energy of the external source light absorbing, fluorescence is propagated in organizer and some reaches body surface, and the fluorescence sending from body surface is detected device and receives, thereby forms fluoroscopic image.Generally speaking, the fluorescence that fluorophore is launched is through organizer's scattering, light intensity is very weak, with the naked eye be difficult to observe, therefore need in the camera bellows of complete lucifuge, carry out imaging, and require detector sensitivity to want high, conventionally utilize the super-sensitive CCD camera of a cryogenic refrigeration to survey the fluorescent photon of organizing body surface.Another advantage of CCD camera is that spatial resolution is higher.
Due to the intrinsic pathosis of optical molecular imaging and measure the factors such as noise, imaging results conventionally and legitimate reading have some differences.Owing to producing the biological tissue of fluorescence, conventionally belong to soft tissue, in some structure imaging mode (as CT, MRI etc.), cannot obtain the true geometric information of this biological tissue, be difficult to the fluorescence light source position that provides true and reliable, make the superiority-inferiority of evaluating optical molecular imaging method become very difficult.
Summary of the invention
The object of the invention is the defect for prior art, a kind of molecular image imaging verification system and method are provided, can measure the cross-sectional slices of examined object, operation steps and operating process have greatly been simplified, system architecture is reasonable, and function is remarkable, easy to operate.
For achieving the above object, the invention provides a kind of molecular image imaging verification system, described system comprises image acquisition part and image processing section:
Described image acquisition partly comprises freezing microtome (1), camera (2), camera lens (3), harvester support (4), camera support (5), camera carriage (6), transmitting filter supporter (7), a plurality of transmitting optical filter (8), optical fiber (9), excitation source (10);
The cabinet of described freezing microtome (1) is connected with described harvester support (4), described harvester support (4) is connected with described camera carriage (6), described camera carriage (6) is connected with described camera support (5), and described camera support (5) is connected with described camera (2);
The converting interface of described camera (2) is connected with the converting interface of described camera lens (3), the light inlet of described camera lens (3) is connected with described transmitting filter supporter (7), and described transmitting optical filter (8) is embedded in the draw-in groove of described transmitting filter supporter (7);
Described excitation source (10) outlet connects one end of described optical fiber (9), and the other end of described optical fiber (9) points to and is observed object;
Described image processing section comprises image processing system, be connected with described camera (2), be used for receiving White-light image and fluorescence excitation image, and fluoroscopic image auto Segmentation, pseudo-colours interpolation, the photon number statistical treatment in auto Segmentation region, the geological information in auto Segmentation region are measured to the true geometric position by fluoroscopic image with the rear acquisition of White-light image stack fluorescence excitation imaging region.
Further, described image processing system comprises: pre-processing module (21), analysis module (22) and memory module (23);
Described pre-processing module (21) is connected with the data-out port of described camera (2), for the fluoroscopic image receiving being carried out to fluorescence intensity, evenly proofread and correct processing and autofluorescence interference Transformatin, and the White-light image receiving is not processed;
Described analysis module (22) is connected with described pre-processing module (21), for the fluoroscopic image that pre-processing module (21) is sent carry out successively that auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region, the geological information in auto Segmentation region is measured, with the operation of White-light image stack, and show fluoroscopic image through auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region and with White-light image stack after the image that obtains;
Described memory module (23) is connected with described analysis module (22) with described pre-processing module (21), for fluoroscopic image and White-light image after pre-processing module (21) is processed, preserve, and after analysis module (22) is processed, the image obtaining after fluoroscopic image is added up through the photon number in auto Segmentation, pseudo-colours interpolation, auto Segmentation region and superposeed with White-light image is preserved.
Further, described camera (2) is photodetector.
For achieving the above object, the invention provides a kind of verification method based on above-mentioned molecular image imaging verification system, it is characterized in that, described method comprises:
Step S1: by controlling the position of camera carriage and camera support, make the accurately corresponding detected section of measured zone of camera lens, camera lens good visual fields comprises detected section transverse cross-sectional area, realizes the blur-free imaging of camera to detected section;
Step S2: open freezing microtome white light, and control camera and obtain White-light image, the xsect information of the detected section of White-light image reaction;
Step S3: transmitting optical filter is put into transmitting filter supporter, and connect transmitting filter supporter and camera lens; Open excitation source, close white light simultaneously; Control camera and obtain fluoroscopic image; Close excitation source; The distributed intelligence of the fluorescence light source that the detected section of fluoroscopic image reaction comprises;
Step S4: fluoroscopic image and White-light image are sent to the pre-processing module of image processing section; Pre-processing module carries out intensity correction operation and the operation of autofluorescence Transformatin to fluoroscopic image;
Step S5: the fluoroscopic image that analysis module sends pre-processing module carries out that auto Segmentation, pseudo-colours add successively, the photon number statistics in auto Segmentation region, the geological information in auto Segmentation region is measured, with White-light image overlap-add procedure, and show fluoroscopic image through auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region and with White-light image stack after the image that obtains;
Step S6: fluoroscopic image and White-light image after memory module is processed pre-processing module are preserved, and after analysis module is processed, the image obtaining after fluoroscopic image is added up through the photon number in auto Segmentation, pseudo-colours interpolation, auto Segmentation region and superposeed with White-light image is preserved, and preserves the fluorescence area geological information measuring.
The invention has the beneficial effects as follows: molecular image imaging verification system and the verification method of having set up a set of combination freezing microtome and CCD camera.This system and method can complete to be measured the cross-sectional slices of the examined object such as toy, can automatic acquisition after setup parameter the fluorescence data of toy section clearly, complete White-light image collection, fluoroscopic image collection and with the processing such as White-light image stack, fluoroscopic image auto Segmentation, cut zone photon number statistics, the measurement of fluorescence area geological information, operation steps and operating process have greatly been simplified, for molecular image imaging results provides goldstandard.System architecture of the present invention is reasonable, and function is remarkable, easy to operate, can be widely used in optical molecular imaging field, has wide market outlook.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of molecular image imaging verification system of the present invention;
Fig. 2 is the process flow diagram of molecular image imaging verification method of the present invention.
Embodiment
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Fig. 1 is the schematic diagram of molecular image imaging verification system of the present invention, and as shown in the figure, system of the present invention comprises image acquisition part and image processing section; Image acquisition partly comprises freezing microtome 1, camera 2, camera lens 3, harvester support 4, camera support 5, camera carriage 6, transmitting filter supporter 7, a plurality of transmitting optical filter 8, optical fiber 9, excitation source 10.
The cabinet of freezing microtome 1 connects with harvester support 4, and harvester support 4 connects with camera carriage 6, and camera carriage 6 connects with camera support 5, and camera support 5 connects with camera 2; The converting interface of camera 2 connects with the converting interface of camera lens 3, and the light inlet of camera lens 3 connects with transmitting filter supporter 7, and transmitting optical filter 8 is embedded in the draw-in groove of transmitting filter supporter 7; Excitation source 10 outlets connect one end of optical fiber 9, and the other end of optical fiber 9 points to and is observed object.
Image processing section comprises image processing system, be connected with the camera 2 of image acquisition part, receive White-light image and fluorescence excitation image, and fluoroscopic image auto Segmentation, pseudo-colours interpolation, the photon number statistical treatment in auto Segmentation region, the geological information in auto Segmentation region are measured to the true geometric position by fluoroscopic image with the rear acquisition of White-light image stack fluorescence excitation imaging region.Camera 1 is the photodetector CCD camera that can detect faint fluorescence signal.
Specifically as shown in the figure, image processing system comprises: pre-processing module 21, analysis module 22 and memory module 23.
Pre-processing module 21 is connected with the data-out port of the camera 2 of image acquisition part, the fluoroscopic image receiving is carried out to fluorescence intensity and evenly proofread and correct processing and autofluorescence interference Transformatin, and the White-light image receiving is not processed.
Analysis module 22 is connected with pre-processing module 21, the fluoroscopic image that pre-processing module 21 is sent carries out that auto Segmentation, pseudo-colours add successively, the photon number statistics in auto Segmentation region, the geological information in auto Segmentation region is measured, with the operation of White-light image stack, and show fluoroscopic image through auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region and with White-light image stack after the image that obtains.
Memory module 23 is connected with analysis module 22 with pre-processing module 21, fluoroscopic image and White-light image after pre-processing module 21 is processed are preserved, and after analysis module 22 is processed, the image obtaining after fluoroscopic image is added up through the photon number in auto Segmentation, pseudo-colours interpolation, auto Segmentation region and superposeed with White-light image is preserved.
Fig. 2 is the process flow diagram of molecular image imaging verification method of the present invention, and as shown in the figure, this method specifically comprises the steps:
Step S1: by controlling the position of camera carriage and camera support, make the accurately corresponding detected section of measured zone of camera lens, camera lens good visual fields comprises detected section transverse cross-sectional area, realizes the blur-free imaging of camera to detected section;
Concrete, be exactly software and hardware initialization operation.Camera 2 temperature are locked onto to-70 ℃, to reduce picture noise;
First by toy to be detected injection fluorescence probe, then carry out freezingly, after freezing completing, take out and be put in freezing microtome;
By regulating angle and the camera carriage 6 of camera support 5, regulate camera to the position over against section.Regulate the aperture of camera lens, realize the blur-free imaging of section.Distance adjustment between camera 2 and detected section is 20cm.
Step S2: open freezing microtome white light, control camera 2 and obtain White-light image.The xsect information of the detected section of White-light image reflection;
Step S3: will launch optical filter 8 and embed transmitting filter supporter 7, and connect transmitting filter supporter 7 and camera lens 3; Open excitation source 10, close white light simultaneously; Control camera 2 and obtain fluoroscopic image; Close excitation source 10; The distributed intelligence of the fluorescence light source that the detected section of fluoroscopic image reaction comprises;
Step S4: fluoroscopic image and White-light image are sent to the pre-processing module 21 of image processing section; 21 pairs of fluoroscopic images of pre-processing module carry out intensity correction operation and the operation of autofluorescence Transformatin;
Step S5: the fluoroscopic image that 22 pairs of pre-processing modules of analysis module 21 send carries out that auto Segmentation, pseudo-colours add successively, the photon number statistics in auto Segmentation region, the geological information in auto Segmentation region is measured, with the sequence of operations such as White-light image stack, and show fluoroscopic image through auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region and with White-light image stack after the image that obtains;
Step S6: fluoroscopic image and White-light image after 23 pairs of pre-processing modules of memory module 21 are processed are preserved, and after analysis module 22 is processed, the image obtaining after fluoroscopic image is added up through the photon number in auto Segmentation, pseudo-colours interpolation, auto Segmentation region and superposeed with White-light image is preserved, and preserves the fluorescence area geological information measuring.Camera 2 temperature are elevated to 25 ℃, hardware deinitialization operation.
In one-time authentication process, in each step, manual control is few, and all in software, setting completed for all operations that each module of image processing section is performed and order.User can be concerned about the detail operation of whole proof procedure after connected system completes, and just can obtain needed section geological information.This operation integrated design greatly facilitates user.
The invention has the beneficial effects as follows: molecular image imaging verification system and the verification method of having set up a set of combination freezing microtome and CCD camera.This system and method can complete to be measured the cross-sectional slices of the examined object such as toy, can automatic acquisition after setup parameter the fluorescence data of toy section clearly, complete White-light image collection, fluoroscopic image collection and with the processing such as White-light image stack, fluoroscopic image auto Segmentation, cut zone photon number statistics, the measurement of fluorescence area geological information, operation steps and operating process have greatly been simplified, for molecular image imaging results provides goldstandard.System architecture of the present invention is reasonable, and function is remarkable, easy to operate, can be widely used in optical molecular imaging field, has wide market outlook.
Above-described embodiment; object of the present invention, technical scheme and beneficial effect are further described; institute is understood that; the foregoing is only the specific embodiment of the present invention; the protection domain being not intended to limit the present invention; within the spirit and principles in the present invention all, any modification of making, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (4)
1. a molecular image imaging verification system, is characterized in that, described system comprises image acquisition part and image processing section:
Described image acquisition partly comprises freezing microtome (1), camera (2), camera lens (3), harvester support (4), camera support (5), camera carriage (6), transmitting filter supporter (7), a plurality of transmitting optical filter (8), optical fiber (9), excitation source (10);
The cabinet of described freezing microtome (1) is connected with described harvester support (4), described harvester support (4) is connected with described camera carriage (6), described camera carriage (6) is connected with described camera support (5), and described camera support (5) is connected with described camera (2);
The converting interface of described camera (2) is connected with the converting interface of described camera lens (3), the light inlet of described camera lens (3) is connected with described transmitting filter supporter (7), and described transmitting optical filter (8) is embedded in the draw-in groove of described transmitting filter supporter (7);
Described excitation source (10) outlet connects one end of described optical fiber (9), and the other end of described optical fiber (9) points to and is observed object;
Described image processing section comprises image processing system, be connected with described camera (2), be used for receiving White-light image and fluorescence excitation image, and fluoroscopic image auto Segmentation, pseudo-colours interpolation, the photon number statistical treatment in auto Segmentation region, the geological information in auto Segmentation region are measured to the true geometric position by fluoroscopic image with the rear acquisition of White-light image stack fluorescence excitation imaging region.
2. system according to claim 1, is characterized in that, described image processing system comprises: pre-processing module (21), analysis module (22) and memory module (23);
Described pre-processing module (21) is connected with the data-out port of described camera (2), for the fluoroscopic image receiving being carried out to fluorescence intensity, evenly proofread and correct processing and autofluorescence interference Transformatin, and the White-light image receiving is not processed;
Described analysis module (22) is connected with described pre-processing module (21), for the fluoroscopic image that pre-processing module (21) is sent carry out successively that auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region, the geological information in auto Segmentation region is measured, with the operation of White-light image stack, and show fluoroscopic image through auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region and with White-light image stack after the image that obtains;
Described memory module (23) is connected with described analysis module (22) with described pre-processing module (21), for fluoroscopic image and White-light image after pre-processing module (21) is processed, preserve, and after analysis module (22) is processed, the image obtaining after fluoroscopic image is added up through the photon number in auto Segmentation, pseudo-colours interpolation, auto Segmentation region and superposeed with White-light image is preserved.
3. system according to claim 1, is characterized in that, described camera (2) is photodetector.
4. a verification method for the molecular image imaging verification system based on described in above-mentioned arbitrary claim, is characterized in that, described method comprises:
Step S1: by controlling the position of camera carriage and camera support, make the accurately corresponding detected section of measured zone of camera lens, camera lens good visual fields comprises detected section transverse cross-sectional area, realizes the blur-free imaging of camera to detected section;
Step S2: open freezing microtome white light, and control camera and obtain White-light image, the xsect information of the detected section of White-light image reaction;
Step S3: transmitting optical filter is put into transmitting filter supporter, and connect transmitting filter supporter and camera lens; Open excitation source, close white light simultaneously; Control camera and obtain fluoroscopic image; Close excitation source; The distributed intelligence of the fluorescence light source that the detected section of fluoroscopic image reaction comprises;
Step S4: fluoroscopic image and White-light image are sent to the pre-processing module of image processing section; Pre-processing module carries out intensity correction operation and the operation of autofluorescence Transformatin to fluoroscopic image;
Step S5: the fluoroscopic image that analysis module sends pre-processing module carries out that auto Segmentation, pseudo-colours add successively, the photon number statistics in auto Segmentation region, the geological information in auto Segmentation region is measured, with White-light image overlap-add procedure, and show fluoroscopic image through auto Segmentation, pseudo-colours add, the photon number statistics in auto Segmentation region and with White-light image stack after the image that obtains;
Step S6: fluoroscopic image and White-light image after memory module is processed pre-processing module are preserved, and after analysis module is processed, the image obtaining after fluoroscopic image is added up through the photon number in auto Segmentation, pseudo-colours interpolation, auto Segmentation region and superposeed with White-light image is preserved, and preserves the fluorescence area geological information measuring.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410482618.6A CN104181142A (en) | 2014-09-19 | 2014-09-19 | Molecular image imaging verification system and method |
PCT/CN2014/087072 WO2016041211A1 (en) | 2014-09-19 | 2014-09-22 | Imaging verification system and method for molecular image |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410482618.6A CN104181142A (en) | 2014-09-19 | 2014-09-19 | Molecular image imaging verification system and method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104181142A true CN104181142A (en) | 2014-12-03 |
Family
ID=51962366
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410482618.6A Pending CN104181142A (en) | 2014-09-19 | 2014-09-19 | Molecular image imaging verification system and method |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN104181142A (en) |
WO (1) | WO2016041211A1 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109799214A (en) * | 2018-12-14 | 2019-05-24 | 南京巨鲨显示科技有限公司 | A kind of optical test box |
CN111413342A (en) * | 2020-04-20 | 2020-07-14 | 华中科技大学 | Microscopic imaging system for frozen section |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113516649B (en) * | 2021-07-28 | 2024-02-02 | 亿嘉和科技股份有限公司 | Cabinet surface detection method based on super-pixel segmentation |
CN114136937A (en) * | 2021-11-16 | 2022-03-04 | 黑龙江省微甄光电科技有限责任公司 | Multifunctional miniature fluorescent microscopic imaging device and imaging method thereof |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5422730A (en) * | 1994-03-25 | 1995-06-06 | Barlow; Clyde H. | Automated optical detection of tissue perfusion by microspheres |
US20050182321A1 (en) * | 2002-03-12 | 2005-08-18 | Beth Israel Deaconess Medical Center | Medical imaging systems |
US20080090198A1 (en) * | 2006-10-13 | 2008-04-17 | Rongguang Liang | Apparatus for caries detection |
CN102106723A (en) * | 2011-03-17 | 2011-06-29 | 中国科学院自动化研究所 | Fluorescence molecule imaging device |
CN102151122A (en) * | 2011-03-17 | 2011-08-17 | 中国科学院自动化研究所 | Laser fluorescent molecular imaging system and an instant fluorescent imaging method |
CN202351599U (en) * | 2011-11-01 | 2012-07-25 | 浙江吉利汽车研究院有限公司 | Mounting bracket |
CN103385696A (en) * | 2013-07-24 | 2013-11-13 | 中国科学院自动化研究所 | Fluorescence excitation real-time imaging system and method |
CN103743714A (en) * | 2014-01-14 | 2014-04-23 | 苏州大猫单分子仪器研发有限公司 | Inclined wide-field optical section scanning imaging microscope system and imaging method thereof |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101766476B (en) * | 2009-07-08 | 2011-05-11 | 中国科学院自动化研究所 | Auto-fluorescence molecule imaging system |
CN102590155A (en) * | 2012-01-16 | 2012-07-18 | 华中科技大学 | Tissue slice scanning and imaging device |
US9164015B2 (en) * | 2012-06-29 | 2015-10-20 | General Electric Company | Systems and methods for processing and imaging of biological samples |
-
2014
- 2014-09-19 CN CN201410482618.6A patent/CN104181142A/en active Pending
- 2014-09-22 WO PCT/CN2014/087072 patent/WO2016041211A1/en active Application Filing
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5422730A (en) * | 1994-03-25 | 1995-06-06 | Barlow; Clyde H. | Automated optical detection of tissue perfusion by microspheres |
US20050182321A1 (en) * | 2002-03-12 | 2005-08-18 | Beth Israel Deaconess Medical Center | Medical imaging systems |
US20080090198A1 (en) * | 2006-10-13 | 2008-04-17 | Rongguang Liang | Apparatus for caries detection |
CN102106723A (en) * | 2011-03-17 | 2011-06-29 | 中国科学院自动化研究所 | Fluorescence molecule imaging device |
CN102151122A (en) * | 2011-03-17 | 2011-08-17 | 中国科学院自动化研究所 | Laser fluorescent molecular imaging system and an instant fluorescent imaging method |
CN202351599U (en) * | 2011-11-01 | 2012-07-25 | 浙江吉利汽车研究院有限公司 | Mounting bracket |
CN103385696A (en) * | 2013-07-24 | 2013-11-13 | 中国科学院自动化研究所 | Fluorescence excitation real-time imaging system and method |
CN103743714A (en) * | 2014-01-14 | 2014-04-23 | 苏州大猫单分子仪器研发有限公司 | Inclined wide-field optical section scanning imaging microscope system and imaging method thereof |
Non-Patent Citations (4)
Title |
---|
史毓阶: "《汉英医学装备科学仪器分类词典》", 31 March 2000, 中国医药科技出版社 * |
李原等: "《计算机辅助几何设计技术与应用》", 31 January 2007, 西北工业大学出版社 * |
王云双等: "《临床免疫学检验》", 31 March 2009, 军事医学科学出版社 * |
陈智毅等: "《分子影像学:基础与应用》", 31 January 2013, 广东高等教育出版社 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109799214A (en) * | 2018-12-14 | 2019-05-24 | 南京巨鲨显示科技有限公司 | A kind of optical test box |
CN111413342A (en) * | 2020-04-20 | 2020-07-14 | 华中科技大学 | Microscopic imaging system for frozen section |
Also Published As
Publication number | Publication date |
---|---|
WO2016041211A1 (en) | 2016-03-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CA2663744C (en) | Focal plane tracking for optical microtomography | |
US10242248B2 (en) | Image adaptive physiologically plausible color separation | |
ES2292973T3 (en) | METHOD FOR VIDEO-MICROSCOPY AND ASSOCIATED SYSTEM, AND PRODUCT OF COMPUTER LOGICAL SUPPORT PROGRAM. | |
Tjin et al. | Quantification of collagen I in airway tissues using second harmonic generation | |
CN104880445B (en) | A kind of autofluorescence life-span imaging and fluorescence spectrum combine the device for early diagnosis of cancer | |
CN104181142A (en) | Molecular image imaging verification system and method | |
CA2917308A1 (en) | Methods related to real-time cancer diagnostics at endoscopy utilizing fiber-optic raman spectroscopy | |
CN103308497A (en) | Method and microplate reader for investigating biological cells or cell cultures | |
CN102928360A (en) | Blood analysis apparatus and blood analysis method | |
US20090326359A1 (en) | Method of in vivo detection and/or diagnosis of cancer using fluorescence based dna image cytometry | |
PT1334461E (en) | Method and system for analyzing cells | |
Chen et al. | Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond | |
US20240068924A1 (en) | Specimen enrichment for optical tomography cell analysis | |
CN106092996A (en) | A kind of cancer diagnosis system based on the autofluorescence life-span | |
KR101559798B1 (en) | method for normalizing image in digital pathology | |
CN106066320A (en) | Seawater bacteria detecting system based on multiwavelength laser Induction of bacterial intrinsic fluorescence | |
Li et al. | Label-free multiphoton imaging to assess neoadjuvant therapy responses in breast carcinoma | |
CN206057175U (en) | A kind of cancer diagnosis system based on the autofluorescence life-span | |
CA2745796A1 (en) | Method and system for collecting optical data for use in time resolved optical imaging of a turbid media | |
US11324425B2 (en) | Apparatus and method for assessment of cancer margin | |
CN204422419U (en) | Molecular image imaging verification system | |
JP6246978B2 (en) | Method for detecting and quantifying fibrosis | |
CN108507985B (en) | Four-dimensional fluorescence resonance energy transfer efficiency visual microscopic analysis system and method | |
KR20170051264A (en) | Multi-spectral autoanalysis endoscope apparatus and method of processing image using the same | |
Lin et al. | Implementation of FLIM and SIFT for improved intraoperative delineation of glioblastoma margin |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141203 |