CN104181142A - Molecular image imaging verification system and method - Google Patents

Molecular image imaging verification system and method Download PDF

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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
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image
camera
white
auto segmentation
light
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田捷
安羽
迟崇巍
杨鑫
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Institute of Automation of Chinese Academy of Science
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Institute of Automation of Chinese Academy of Science
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Priority to CN201410482618.6A priority Critical patent/CN104181142A/en
Priority to PCT/CN2014/087072 priority patent/WO2016041211A1/en
Publication of CN104181142A publication Critical patent/CN104181142A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence

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  • 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

Molecular image imaging verification system and method
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.
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Cited By (2)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (8)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

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Application publication date: 20141203