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Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System

机译:使用广域高含量分析系统对荧光标记组织进行自动幻灯片扫描和分割

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摘要

Automated slide scanning and segmentation of fluorescently-labeled tissues is the most efficient way to analyze whole slides or large tissue sections. Unfortunately, many researchers spend large amounts of time and resources developing and optimizing workflows that are only relevant to their own experiments. In this article, we describe a protocol that can be used by those with access to a widefield high-content analysis system (WHCAS) to image any slide-mounted tissue, with options for customization within pre-built modules found in the associated software. Not originally intended for slide scanning, the steps detailed in this article make it possible to acquire slide scanning images in the WHCAS which can be imported into the associated software. In this example, the automated segmentation of brain tumor slides is demonstrated, but the automated segmentation of any fluorescently-labeled nuclear or cytoplasmic marker is possible. Furthermore, there are a variety of other quantitative software modules including assays for protein localization/translocation, cellular proliferation/viability/apoptosis, and angiogenesis that can be run. This technique will save researchers time and effort and create an automated protocol for slide analysis.
机译:幻灯片自动扫描和荧光标记的组织分割是分析整个幻灯片或大型组织切片的最有效方法。不幸的是,许多研究人员花费大量时间和资源来开发和优化仅与自己的实验有关的工作流程。在本文中,我们描述了一种协议,可供访问宽域高内涵分析系统(WHCAS)的人员使用,以对任何载玻片组织进行成像,并提供在相关软件中找到的预建模块内进行自定义的选项。本文最初不打算用于幻灯片扫描,本文详细介绍的步骤使您可以在WHCAS中获取幻灯片扫描图像,并将其导入相关的软件中。在这个例子中,证明了脑肿瘤载玻片的自动分割,但是任何荧光标记的核或细胞质标记物的自动分割都是可能的。此外,还有许多其他定量软件模块可以运行,包括蛋白质定位/转运,细胞增殖/活力/凋亡和血管生成的测定。这种技术将节省研究人员的时间和精力,并创建自动的载玻片分析方案。

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