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超分辨率高内涵筛选与分析

Super-Resolution High Content Screening and Analysis.

作者信息

Soliman K

机构信息

Göttingen Medical Center Neuropediatric Division, Göttingen University, Göttingen, Germany.

College of Pharmacy, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.

出版信息

Methods Mol Biol. 2017;1663:253-259. doi: 10.1007/978-1-4939-7265-4_20.

Abstract

Revealing the subcellular phenotypes at the molecular scale is critical to understand the mechanisms by which the cells function and respond to chemical treatments. Super-resolution microscopy and robust analysis tools enabled biologists to reveal and quantify phenotypes at unprecedented resolution. Developing automated imaging analysis solutions for super-resolution imaging will make high-content-screening (HCS) applicable for super-resolution microscopy, which will give access to new complex information. Here, I provide an instant automated analysis procedure for analyzing super-resolution images via CellProfiler ( www.cellprofiler.org ) platform.

摘要

在分子尺度上揭示亚细胞表型对于理解细胞功能以及对化学处理作出反应的机制至关重要。超分辨率显微镜和强大的分析工具使生物学家能够以前所未有的分辨率揭示和量化表型。为超分辨率成像开发自动化成像分析解决方案将使高内涵筛选(HCS)适用于超分辨率显微镜,从而获取新的复杂信息。在此,我提供一种通过CellProfiler(www.cellprofiler.org)平台分析超分辨率图像的即时自动化分析程序。

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