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名研究人员需要最先进的技术，将多光谱(明场、暗场和荧光)成像与流式细胞术相结合。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，这些研究人员的研究兴趣广泛，包括癌症生物学、细胞生物学、细胞信号、免疫生物学、神经生物学、受体运输、干细胞生物学和血管生物学。这些调查人员目前资助的每个国家卫生研究院项目都将从Amny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个细胞的速率生成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量化了500多个形态测量和光度学参数，包括测量探针的亚细胞位置的参数。通过结合流式细胞术常见的大样本提供的统计能力和显微图像中存在的高信息含量的数字量化，该技术使得许多基于细胞图像的新应用成为可能，包括但不限于分析细胞凋亡、自噬、趋化、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)。重要的是，可以同时评估这些因素中的许多因素，从而实时评估这些参数彼此之间的影响(即受体贩运对信号转导结果的影响)。此外，这项技术还允许评估这些相同参数的整个样本分析无法捕获的微妙和/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，不仅促进它们的完成，而且提高这些项目的目标，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.