Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.
Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil.
Curr Protoc. 2023 Mar;3(3):e713. doi: 10.1002/cpz1.713.
Image-based profiling quantitatively assesses the effects of perturbations on cells by capturing a breadth of changes via microscopy. Here, we provide two complementary protocols to help explore and interpret data from image-based profiling experiments. In the first protocol, we examine the similarity among perturbed cell samples using data from compounds that cluster by their mechanisms of action. The protocol includes steps to examine feature-driving differences between samples and to visualize correlations between features and treatments to create interpretable heatmaps using the open-source web tool Morpheus. In the second protocol, we show how to interactively explore images together with the numerical data, and we provide scripts to create visualizations of representative single cells and image sites to understand how changes in features are reflected in the images. Together, these two tutorials help researchers interpret image-based data to speed up research. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Exploratory analysis of profile similarities and driving features Basic Protocol 2: Image and single-cell visualization following profile interpretation.
基于图像的分析通过显微镜捕捉广泛的变化来定量评估干扰对细胞的影响。在这里,我们提供了两个互补的方案,以帮助探索和解释基于图像的分析实验数据。在第一个方案中,我们使用作用机制聚类的化合物的数据来检查受干扰的细胞样本之间的相似性。该方案包括检查样本之间特征驱动差异的步骤,并使用开源网络工具 Morpheus 可视化特征与处理之间的相关性,以创建可解释的热图。在第二个方案中,我们展示了如何与数值数据一起交互式地探索图像,并提供了创建有代表性的单细胞和图像位置可视化的脚本,以了解特征变化如何反映在图像中。这两个教程共同帮助研究人员解释基于图像的数据,以加快研究速度。© 2023 作者。Wiley Periodicals LLC 出版的《当代协议》。基础方案 1:分析图谱相似性和驱动特征基础方案 2:图谱解释后的图像和单细胞可视化