Integrated Optical Coherence Tomography and Microscopy for Molecular-Targeted Ima
用于分子靶向成像的集成光学相干断层扫描和显微镜
基本信息
- 批准号:8110925
- 负责人:
- 金额:$ 9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-06-15 至 2012-05-31
- 项目状态:已结题
- 来源:
- 关键词:Animal ModelAntibodiesAwardBindingBiodistributionBiologicalBreastCaliberCancer BiologyCancer DetectionCardiovascular DiseasesCell Culture TechniquesCellsClinicalConfocal MicroscopyContrast MediaData SetDetectionDevelopmentEnvironmentEpidermal Growth Factor ReceptorFrequenciesFundingGlutamate Carboxypeptidase IIGoalsHistologyHistopathologyHumanImageImageryImaging TechniquesImaging technologyInstitutesInternationalInvestigationIsraelKnowledgeLasersLeadLigandsMassachusettsMedical centerMentorshipMethodsMicroscopyMolecularMolecular TargetMorphologyNanotechnologyNeurodegenerative DisordersNoiseOptical Coherence TomographyOpticsPathologistPathologyPennsylvaniaPerformancePhasePhysicsProteinsProtocols documentationQualifyingResearchResearch TrainingResolutionScreening for cancerSensitivity and SpecificitySignal TransductionSolidSourceSpecimenSpecimen HandlingSpeedStagingStructureSystemTechniquesTechnologyTherapeuticTimeTissuesToxic effectTrainingUniversitiesabsorptionauthoritybasecancer cellcytotoxicitydesignexperienceimaging modalityimprovedin vivomedical schoolsmolecular imagingnanoparticleneoplasticnoveloptical imagingphase changepre-clinical researchprogramsprotein expressionskill acquisitionskillssmall moleculetooltumortumor progression
项目摘要
DESCRIPTION (provided by applicant): Optical coherence tomography (OCT) is a powerful tool for assessing three-dimensional (3D) tissue architectural morphology in vivo and in real-time, with a resolution approaching that of standard histopathology. Optical coherence microscopy (OCM) combines OCT with confocal microscopy in order to achieve high transverse resolution and 3D visualization of cellular features. However, current OCT and OCM imaging technologies have not been able to leverage the advances in molecular-targeted contrast agents because there is no known method to generate molecular contrast using OCT and OCM. Our hypothesis is that 3D, multi-scale OCT and OCM, in combination with molecular-targeted contrast agents, will improve the sensitivity and specificity of early cancer detection. The goal of this program is to develop the technology that will enable molecular contrast for 3D-OCT and OCM imaging, building upon preliminary studies conducted by the candidate. The candidate, Dr. Chao Zhou, completed rigorous training in physics from the University of Pennsylvania and is continuing his postdoctoral research at the Massachusetts Institute of Technology (MIT). He has a solid background in biomedical optical imaging techniques and in pre-clinical research. The K99/R00 award would provide additional research and clinical training under co-mentorship from: Dr. James G. Fujimoto, an international authority on OCT technologies at MIT; Dr. John V. Frangioni, a distinguished leader in molecular imaging at Beth Israel Deaconess Medical Center (BIDMC) and the Harvard Medical School (HMS); and Dr. James L. Connolly, a world renowned breast pathologist at BIDMC and HMS. The unique environments provided by MIT and HMS will encourage successful research, which will vertically integrate technical development in OCT and OCM, and leverage recent advances in molecular-targeted contrast agents and nanotechnology. The successful completion of this program will: 1) transform the OCT field by enabling molecularly sensitive contrast and 3D structural imaging; 2) open the way for the highly sensitive and specific detection of cancer markers that can be readily combined with photothermal therapeutic techniques; and 3) serve as a launching point for additional OCT and OCM studies of other pathologies associated with abnormal protein expression levels, such as neurodegenerative and cardiovascular diseases. These advances will enable both the structure and pathological states of tissue to be imaged in 3D, in vivo, in real time, and with micron-level spatial resolutions at multiple scales. Dr. Zhou will also obtain valuable training and research experience so that he will be qualified to lead an independent research program and to compete for independent research funding.
PUBLIC HEALTH RELEVANCE: This program will develop and validate an integrated, ultrahigh-speed optical coherence tomography (OCT) and optical coherence microscopy (OCM) system that enables molecularly targeted imaging in 3D, in vivo, in real-time, and with micron-scale spatial resolution. We hypothesize that the combination of 3D, multiple-scale, and molecular-targeted OCT and OCM imaging will greatly enhance the sensitivity and specificity for early cancer detection. This K99/R00 application will also serve as a training vehicle for the candidate, as he transitions to independent investigation.
描述(由申请人提供):光学相干断层扫描(OCT)是一种用于在体内实时评估三维(3D)组织结构形态的强大工具,分辨率接近标准组织病理学。光学相干显微镜(OCM)将OCT与共焦显微镜相结合,以实现细胞特征的高横向分辨率和3D可视化。然而,目前的OCT和OCM成像技术还不能利用分子靶向造影剂的进步,因为没有已知的方法来使用OCT和OCM产生分子造影剂。我们的假设是,3D、多尺度OCT和OCM与分子靶向造影剂相结合,将提高早期癌症检测的灵敏度和特异性。该计划的目标是开发能够实现3D-OCT和OCM成像的分子对比度的技术,建立在候选人进行的初步研究基础上。 候选人Chao Zhou博士在宾夕法尼亚大学完成了严格的物理学培训,目前正在马萨诸塞州理工学院(MIT)继续进行博士后研究。他在生物医学光学成像技术和临床前研究方面拥有坚实的背景。K99/R 00奖将提供额外的研究和临床培训的共同指导下,从博士詹姆斯G。麻省理工学院OCT技术的国际权威Fujimoto博士、贝斯以色列女执事医学中心(BIDMC)和哈佛医学院(HMS)分子成像领域的杰出领导者John V. Frangioni博士以及James L.康诺利是BIDMC和HMS的世界著名乳腺病理学家。麻省理工学院和HMS提供的独特环境将鼓励成功的研究,这将垂直整合OCT和OCM的技术开发,并利用分子靶向造影剂和纳米技术的最新进展。该项目的成功完成将:1)通过实现分子敏感对比度和3D结构成像来改变OCT领域; 2)为高灵敏度和特异性检测癌症标志物开辟道路,这些标志物可以很容易地与光热治疗技术相结合;和3)作为与异常蛋白质表达水平相关的其它病理的附加OCT和OCM研究的起点,例如神经变性和心血管疾病。 这些进展将使组织的结构和病理状态能够在体内以真实的时间进行3D成像,并具有多尺度的微米级空间分辨率。周博士还将获得宝贵的培训和研究经验,使他有资格领导一个独立的研究项目,并争取独立的研究资金。
公共卫生关系:该计划将开发和验证一种集成的超高速光学相干断层扫描(OCT)和光学相干显微镜(OCM)系统,该系统能够在3D,活体,实时和微米级空间分辨率下进行分子靶向成像。我们假设3D、多尺度和分子靶向OCT和OCM成像的组合将大大提高早期癌症检测的灵敏度和特异性。该K99/R 00应用程序也将作为候选人的培训工具,因为他过渡到独立调查。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(4)
Ultrahigh-resolution optical coherence microscopy accurately classifies precancerous and cancerous human cervix free of labeling.
- DOI:10.7150/thno.24599
- 发表时间:2018
- 期刊:
- 影响因子:12.4
- 作者:Zeng X;Zhang X;Li C;Wang X;Jerwick J;Xu T;Ning Y;Wang Y;Zhang L;Zhang Z;Ma Y;Zhou C
- 通讯作者:Zhou C
Segmentation of Drosophila heart in optical coherence microscopy images using convolutional neural networks.
- DOI:10.1002/jbio.201800146
- 发表时间:2018-12
- 期刊:
- 影响因子:2.8
- 作者:Duan L;Qin X;He Y;Sang X;Pan J;Xu T;Men J;Tanzi RE;Li A;Ma Y;Zhou C
- 通讯作者:Zhou C
Wide-field high-speed space-division multiplexing optical coherence tomography using an integrated photonic device
- DOI:10.1364/boe.8.003856
- 发表时间:2017-08-01
- 期刊:
- 影响因子:3.4
- 作者:Huang, Yongyang;Badar, Mudabbir;Zhou, Chao
- 通讯作者:Zhou, Chao
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Chao Zhou其他文献
Chao Zhou的其他文献
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{{ truncateString('Chao Zhou', 18)}}的其他基金
Expansion Optical Coherence Microscopy (ExOCM)
扩展光学相干显微镜 (ExOCM)
- 批准号:
10668523 - 财政年份:2022
- 资助金额:
$ 9万 - 项目类别:
Expansion Optical Coherence Microscopy (ExOCM)
扩展光学相干显微镜 (ExOCM)
- 批准号:
10530971 - 财政年份:2022
- 资助金额:
$ 9万 - 项目类别:
High-throughput integrated live imaging and optogenetic pacing platform to assess hypoxia responsiveness in the fly heart
高通量集成实时成像和光遗传学起搏平台,用于评估果蝇心脏的缺氧反应
- 批准号:
10318214 - 财政年份:2021
- 资助金额:
$ 9万 - 项目类别:
High-throughput integrated live imaging and optogenetic pacing platform to assess hypoxia responsiveness in the fly heart
高通量集成实时成像和光遗传学起搏平台,用于评估果蝇心脏的缺氧反应
- 批准号:
10542750 - 财政年份:2021
- 资助金额:
$ 9万 - 项目类别:
High-throughput integrated live imaging and optogenetic pacing platform to assess hypoxia responsiveness in the fly heart
高通量集成实时成像和光遗传学起搏平台,用于评估果蝇心脏的缺氧反应
- 批准号:
10132500 - 财政年份:2021
- 资助金额:
$ 9万 - 项目类别:
High throughput optical coherence tomography (OCT)-based imaging platform for label-free, non-invasive characterization of 3D tumor spheroids.
基于高通量光学相干断层扫描 (OCT) 的成像平台,用于对 3D 肿瘤球体进行无标记、非侵入性表征。
- 批准号:
10225615 - 财政年份:2019
- 资助金额:
$ 9万 - 项目类别:
Integrated Optical Coherence Tomography and Microscopy for Molecular-Targeted Ima
用于分子靶向成像的集成光学相干断层扫描和显微镜
- 批准号:
8475595 - 财政年份:2012
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$ 9万 - 项目类别:
Integrated Optical Coherence Tomography and Microscopy for Molecular-Targeted Ima
用于分子靶向成像的集成光学相干断层扫描和显微镜
- 批准号:
8472624 - 财政年份:2012
- 资助金额:
$ 9万 - 项目类别:
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