Multi-spectral Mosaic (MSM) Digital Imaging Sensor for Microscopy Applications
Multi-spectral Mosaic (MSM) Digital Imaging Sensor for Microscopy Applications
批准号:
7407933
负责人:
Steve Michael Savoy
金额:
$25.14万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-07-21 至 2010-07-20
关键词:
AlgorithmsBindingBiomedical EngineeringCollaborationsColorCost Effectiveness AnalysisCypressDataDepositionDevelopmentDevicesDiagnosticDigital PhotographyDyesElementsFluorescent in Situ HybridizationGray unit of radiation doseImageImmobilizationIn Situ HybridizationKaryotype determination procedureLeadLibrariesLightLiquid substanceMethodsMicroarray AnalysisMicrofluidicsMicroscopyMicrospheresNumbersOligonucleotide MicroarraysOligonucleotidesOpticsPatternPhasePolymersPreparationProcessRangeReproductionResearchResolutionSemiconductorsSpeedStandards of Weights and MeasuresStreptavidinSurfaceSystemTechniquesTechnologyTestingTissuesUltrafinecomputerized data processingconceptcostdensitydesigndigital imaginginstrumentinstrumentationnext generationnovelparticlesealsensor
中文摘要
描述(由申请人提供):紧凑、低成本的数字成像系统结合了高空间和光谱分辨率的优点,需要用于生物分析分析,如原位杂交(ISH)和荧光原位杂交(FISH)核型分析、组织和细胞诊断以及微阵列。商用图像传感器的进步导致了像素密度的提高,从而提供了精致的空间分辨率。尽管像素密度足以分辨大视场的超精细特征,但商业上可用的彩色CMOS相机在光谱(色度)分辨率水平上仍然受到限制。彩色成像系统通常受拜耳滤色器阵列(CFA)马赛克图案(即通常是RGB三色滤色器阵列(CFA))的限制。这些彩色相机芯片旨在满足数码摄影对色彩复制的最低要求。更高的光谱带清晰度是通过将单色图像传感器与体积庞大且昂贵的色散/滤光片元件相结合来实现的,特别是对于那些涉及滤光片组之间的电动切换的元件。同样,电子可调滤光器(如LCD、声光、Sagnac等)这种缓慢的图像采集速度并不理想。要消除外部色散元件和慢速可调滤光片,需要将更高的光谱清晰度直接集成到图像传感器(cmos/ccd)的马赛克图案中。NanoHmics与Atics Technologies合作,提议开发一种工艺,以扩大直接在CMOS传感器表面上的滤色器阵列(CFAs)的光谱分辨率和范围(例如,UV、可见光和近红外)。此外,这些多光谱马赛克(MSM)图案将使用一种新的方法沉积,该方法利用寡核苷酸微阵列的锁和钥匙登记,将核心染色的微球直接表面固定到图像传感器上的马赛克图案中。所提出的方法与目前用于商业制备现有彩色相机CFA的标准连续光刻工艺有很大的不同。所提出的寡聚定向固定化将导致在单个处理步骤中形成整个镶嵌图案。这项提议的技术是利用生物分子识别在商业设备应用中对材料层进行生物工程。
紧凑型图像传感器光谱能力的扩展将使在包括微阵列分析、诊断和核型分析在内的许多领域中对生物分子过程进行更快速、更经济有效的分析。此外,增强的光谱分辨率将为所有图像传感器应用带来更高的色彩保真度再现。将生物分子材料用于生物工程是拟议研究的一个重要特征
英文摘要
DESCRIPTION (provided by applicant): Compact, low-cost digital imaging systems that combine the benefits of high spatial and spectral resolution are in demand for bioanalytical analyses such as in situ hybridization (ISH) and fluorescence in situ hybridization (FISH) karyotyping, tissue and cellular diagnostics, and microarrays. Advances in commercial image sensors have led to pixel densities which provide exquisite spatial resolution. Despite pixel densities sufficient to resolve ultrafine features with large fields of view, commercially available color CMOS cameras are still limited in the level of spectroscopic (chromaticity) resolution. Color imaging systems are generally restricted by the Bayer color filter array (CFA) mosaic patterning (i.e. usually RGB three color filter arrays (CFAs). These color camera chips are designed to meet minimal color reproduction requirements for digital photography. Higher spectroscopic band definition is achieved through combination of a monochrome image sensor with dispersive/filter elements that are bulky and expensive, particularly for those involving motorized switching between filter sets. Likewise, electronically tunable filters (e.g. LCD, acousto-optic, Sagnac, etc.) that slow image acquisition speed are not ideal. Elimination of external dispersive elements and slow tunable filters requires directly integrating higher spectral definition into the mosaic pattern on the image sensor (CMOS/CCD). Nanohmics, in collaboration with Atactic Technologies, propose to develop a process for expanding the spectral resolution and range (e.g. UV, visible and near-IR) of Color Filter Arrays (CFAs) directly on the CMOS sensor surface. Furthermore, these Multi-Spectral Mosaic (MSM) patterns will be deposited using a novel method that utilizes the lock-and- key registration of oligonucleotide micorarrays to direct surface immobilization of core- dyed microspheres into the mosaic pattern on the image sensor. The proposed method is vastly different than standard serial lithographic processing currently used in commercial preparation of existing color camera CFAs. The proposed oligo-directed immobilization will lead to the development of the entire mosaic pattern in a single processing step. This proposed technique was exploit biomolecular recognition to bioengineer the material layer in a commercial device application.Project Narrative
The expansion of spectral capabilities of a compact image sensor would enable more rapid and cost effective analyses of biomolecular processes in a number of fields including microarray analysis, diagnostics, and karyotyping. Furthermore, enhanced spectral resolution will lead to higher color fidelity reproduction for all image sensor applications. The use of biomolecular materials for bioengineering is an important enabled feature of the proposed research
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