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Spectro-Holographic Instrument for Dynamic Sensing of Cancer Progression

Spectro-Holographic Instrument for Dynamic Sensing of Cancer Progression
用于动态感知癌症进展的光谱全息仪器
批准号:
9768416
负责人:
Lev T Perelman
金额:
$67.14万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-08-31
关键词:
AdoptedAffectAlgorithmsAreaBiochemicalBiogenesisBiologicalBiological MarkersBiomedical EngineeringBiopsyBreast Cancer PatientCancer BiologyCell physiologyCellsCellular Precursor of CancerCellular StructuresClinicalClinical DataClinical OncologyClinical ResearchCollaborationsDataDevelopmentDoctor of PhilosophyDysplasiaElectron MicroscopyEndoscopyEsophagusFluorescenceFluorescence MicroscopyFluorescent ProbesFunctional ImagingGastroenterologistGastrointestinal tract structureHigh-Risk CancerHumanImageImaging DeviceImaging TechniquesLabelLaser Scanning Confocal MicroscopyLengthLesionLightMalignant NeoplasmsMalignant neoplasm of pancreasMapsMathematicsMeasuresMedicineMethodsMicroRNAsMicroscopicMicroscopyModalityModelingMonitorMorphologyNatureNeoplasmsNuclearNuclear StructureOncogenicOptical BiopsyOpticsOrganellesOrganismPancreatic CystPathologistPharmaceutical PreparationsPhosphotransferasesPhotobleachingPlayPredispositionPremalignantPropertyProteinsRefractive IndicesResearchResolutionRoleSamplingScanningScientistScreening for cancerSerumSignal PathwaySiteSpectrum AnalysisStainsStatistical Data InterpretationStructureSubcellular structureSystemTechniquesTestingTimeTissuesTrainingTumor Suppressor ProteinsWorkabsorptionbasecancer cellcancer geneticscarcinogenesiscarcinogenicitycell injurydecision making algorithmexosomeexperienceexperimental studyextracellularfluorophorehuman subjectimaging modalityimprovedin vivoinstrumentinstrumentationinterestlight scatteringmalignant breast neoplasmmathematical modelnoveloncologyoptical imagingoptogeneticspatient populationphysical modelphysical propertypredictive markerpreventprognosticprogramsstandard of caretissue preparationtumor progressiontumorigenesis

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中文摘要
翻译
项目概要 在此应用中,我们建议开发一种原生对比光学光谱传感方法 当细胞经历预加工时,识别和表征亚细胞结构并量化其特性 通过使用光散射光谱作为天然光学生物标志物来检测癌性改变。这样的技术 将能够同时标记大量的亚细胞和亚核结构,而无需 染色剂的使用对于研究早期癌症进展具有重要价值。没有污渍 也使得此类方法在癌症进展研究中易于实施,并且将 适合于人体体内观察。 尽管细胞器和核结构的改变很容易观察和研究 在癌症领域,现有的成像技术存在根本性的局限性,阻碍了对癌症的研究。 早期癌前改变。与发育不良的细胞改变(例如核)相反 扩大和组织,癌发生的最早阶段有更微妙的改变 使用标准显微镜技术不容易辨别。也许最常用的 用于观察细胞结构的成像工具是荧光显微镜。它可以实现目标对比度 对于特定的细胞器或蛋白质,然而活细胞中的成像仍然仅限于几种类型 荧光团及其结构类型。尽管最近开发了光遗传学方法和新的 活细胞荧光探针显着提高了荧光在生命系统中的效用, 该方法本质上仅限于在相对较短的时间尺度内观察几种类型的结构。一个偶数 传统光学成像更本质的限制是它受到衍射极限的影响 无法辨别明显小于波长的细胞结构的特性。开 另一方面,电子显微镜成像方法具有破坏性,涉及大量操作 与样品一起,并且不能在生命系统中使用。为了克服两者的局限性 方法,需要一种基于完全不同的物理原理的技术。这个方法 理想情况下应该识别活细胞中所有重要的细胞结构,同时动态地 当细胞经历癌前改变时量化它们的特性。
英文摘要
Project Summary In this application we propose to develop a native contrast optical spectroscopic sensing approach that identifies and characterizes subcellular structures and quantifies their properties when cells undergo pre- cancerous alterations, by using light scattering spectra as native optical biomarkers. Such a technique would enable simultaneous labeling of large number of subcellular and subnuclear structures without the use of stains and would be of great value for studying early cancer progression. The absence of stains also makes such methods easy to implement in time-course cancer progression studies and would be amenable for in vivo observations in humans. Although cellular alterations in organelle and nuclear structure are readily observed and studied in cancer, there are fundamental limitations in existing imaging techniques that prevent the study of very early stage pre-cancerous alterations. In contrast to dysplastic cellular alterations such as nuclear enlargement and organization, the earliest stages of carcinogenesis have much more subtle alterations that are not easily discernible with standard microscopy techniques. Perhaps the most often used imaging tool for observing cellular structure is fluorescence microscopy. It can achieve targeted contrast for specific organelles or proteins, however imaging in live cells remains limited to just a few types of fluorophores and therefore structure types. Although recently developed optogenetic methods and new live cell fluorescent probes have significantly improved the utility of fluorescence in living systems, the method is inherently limited to observing a few types of structures at relatively short time scales. An even more substantial limitation of conventional optical imaging is that it is subject to the diffraction limit and cannot discern the properties of cellular structures that are significantly smaller than a wavelength. On the other hand, electron microscopy imaging methods are destructive, involve extensive manipulations with the sample, and cannot be utilized in living systems. In order to overcome the limitations of both methods, a technique that is based on an entirely different physical principle is required. This method should ideally identify all important cellular structures in live cells, while simultaneously dynamically quantifying their properties when cells undergo pre-cancerous alterations.
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