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OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows

机译:OpenHiCAMM:用于复杂显微镜成像工作流程的高内涵筛选软件

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class="head no_bottom_margin" id="sec1title">IntroductionLarge-scale genome sequencing has rapidly facilitated the investigation and analysis of gene and protein functions and interactions. Efforts to interpret sequence data and to understand how they are used to control cellular, tissue, or organ system development have quickly revealed the limitations in our molecular understanding of multicellular organisms. Spatial gene expression is important for understanding the events that are necessary for the development of metazoans, and large-scale studies are underway for a number of species (e.g., , , , ). Indeed, even the existence of uniform cells or tissues has been questioned, and their variance has been masked by single measurements ().High-content screening (HCS) is routinely used in cell culture imaging, pharmaceutical drug discovery, genome-wide RNA interference (RNAi), and CRISPR (). Commercial equipment is readily available () and able to scan multi-well plates and slides. Commercial automated microscopes are integrated packages of robotics, microscope, and software, limiting possible customizations, especially for well-suited existing microscope systems. Imaging is done in a single pass, requiring a compromise between resolution and field depth. For single cell samples, this means a tradeoff between resolution and cell density. Transient transfections may not have sufficient cell transfection density for high-resolution imaging. For larger samples, such as histological sections, organoids, or whole-mount samples of model organisms or tissues, specimens need to be tiled at low resolution or placed at a predefined position.We describe new software for high-throughput imaging, specifically designed to automate image acquisition that requires multi-step workflows contingent on image analysis and multiple imaging modalities. The software, OpenHiCAMM (Open Hi Content Acquisition for μManager) controls optical microscopes and interfaces with an automated slide loader to perform fully automated HCS.
机译:<!-fig ft0-> <!-fig @ position =“ position” anchor“ == f4-> <!-fig mode =” anchred“ f5-> <!-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ head no_bottom_margin” id =“ sec1title”>简介大规模基因组测序已迅速促进了基因和蛋白质功能的研究和分析,以及互动。解释序列数据并了解如何将其用于控制​​细胞,组织或器官系统发育的努力迅速揭示了我们对多细胞生物的分子理解的局限性。空间基因表达对于理解后生动物发展所必需的事件非常重要,并且许多物种(例如,,,)的大规模研究正在进行中。的确,甚至均匀细胞或组织的存在都受到质疑,其变异已被单次测量掩盖了(高含量筛选(HCS)通常用于细胞培养成像,药物发现,全基因组RNA干扰) (RNAi)和CRISPR()。商业设备很容易获得(),并且能够扫描多孔板和载玻片。商用自动显微镜是机器人技术,显微镜和软件的集成包,从而限制了可能的自定义设置,尤其是对于非常适合的现有显微镜系统。成像一次完成,需要在分辨率和景深之间进行折衷。对于单细胞样品,这意味着在分辨率和细胞密度之间进行权衡。瞬时转染可能没有足够的细胞转染密度用于高分辨率成像。对于较大的样本,例如组织学切片,类器官或模型生物或组织的整装样本,样本需要以低分辨率平铺或放置在预定位置。自动化的图像采集需要取决于图像分析和多种成像方式的多步骤工作流。软件OpenHiCAMM(用于μManager的Open Hi Content Acquisition)控制光学显微镜,并与自动载玻片装载机接口以执行全自动HCS。

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