Multispectral Imaging Flow Cytometer Core

描述（由申请人提供）：杜克大学医学中心目前有21名研究人员需要将多光谱（明场、暗场和荧光）成像与流式细胞术相结合的最先进技术。这些研究人员来自广泛的部门和学科（生物化学，细胞生物学，免疫学，医学，微生物学和遗传学，儿科学，放射肿瘤学，药理学和癌症生物学）。此外，这些研究人员有各种各样的研究兴趣，从癌症生物学，细胞生物学，细胞信号，免疫生物学，神经生物学，受体贩运，干细胞生物学和血管生物学。这些研究人员目前资助的NIH项目将从Amnis公司提供的ImageStream系统中受益匪浅。ImageStream多光谱成像流式细胞仪以每秒超过100个细胞的速率产生悬浮液中制备的细胞的高分辨率明场、暗场和荧光图像。IDEAS分析软件根据每个细胞的图像，对每个细胞的500多个形态和光度参数进行量化，包括测量探针亚细胞位置的参数。通过将流式细胞术常见的大样本量所提供的统计能力与显微图像中存在的高信息含量的数值量化相结合，该技术能够实现许多新的基于细胞图像的应用，包括但不限于细胞凋亡、自噬、趋化性、免疫突触形成、受体内化和运输以及信号转导（细胞膜定位、核转位）的分析。重要的是，这些因素中的许多可以同时评估，允许真实的时间评估这些参数对彼此的影响（即受体运输对信号传导结果）。此外，该技术还允许评估这些相同参数的全样本分析无法捕获的细微和/或罕见事件。因此，ImageStream系统的使用将对NIH资助的各种研究项目产生巨大影响，不仅有助于完成这些项目，而且有助于提高这些项目的目标，并使杜克大学的研究人员能够更明确地回答与人类健康直接相关的关键问题，包括癌症、心脏病和免疫系统、肺和血管疾病。

DESCRIPTION (provided by applicant): Duke University Medical Center currently has 21 investigators in need of state-of-the-art technology that combines multispectral (brightfield, darkfield, and fluorescence) imaging with flow cytometry. These investigators come from a wide-range of departments and disciplines (Biochemistry, Cell Biology, Immunology, Medicine, Microbiology and Genetics, Pediatrics, Radiation Oncology, Pharmacology and Cancer Biology). In addition, these investigators have a diverse array of research interests from cancer biology, cell biology, cellular signaling, immunobiology, neurobiology, receptor trafficking, stem cell biology and vascular biology. The currently funded NIH projects of each of these investigators would benefit tremendously from the ImageStream System available from Amnis Corporation. The ImageStream multispectral imaging flow cytometer produces high resolution brightfield, darkfield, and fluorescence images of cells prepared in suspension at rates exceeding 100 cells per second. The IDEAS" analysis software quantifies over 500 morphometric and photometric parameters for each cell based on its imagery, including parameters that measure sub-cellular location of probes. By combining the statistical power afforded by large sample sizes common to flow cytometry with numerical quantification of the high information content present in microscopic images, this technology enables many novel cell image-based applications, including but not limited to analysis of apoptosis, autophagy, chemotaxis, immune synapse formation, receptor internalization and trafficking and signal transduction (cell membrane localization, nuclear translocation). Importantly, many of these factors can be assessed simultaneously, allowing real time assessment of the effects of these parameters on each other (i.e. receptor trafficking on signaling outcomes). In addition, this technology also allows assessment of subtle and/or rare events that would not be captured by whole sample analysis of these same parameters. As such, use of the ImageStream System will have tremendous impact on a broad diversity of NIH funded research projects, not only facilitating their completion, but enhancing the goals of these projects and allowing researchers at Duke University to more definitively answer key questions of direct relevance to human health, including cancer, heart disease and immune system, pulmonary and vascular disorders.