高含量筛选
荧光显微镜
仿形(计算机编程)
显微镜
表型
生物
图像分析
细胞器
计算生物学
显微镜
生物系统
细胞
荧光
图像处理
计算机科学
人工智能
细胞生物学
基因
病理
图像(数学)
数字图像处理
遗传学
光学
操作系统
物理
医学
作者
Mark‐Anthony Bray,Shantanu Singh,Han Han,Chadwick T. Davis,Blake Borgeson,Cathy L Hartland,Maria Kost‐Alimova,Sigrun Gustafsdottir,Christopher C. Gibson,Anne E. Carpenter
出处
期刊:Nature Protocols
[Springer Nature]
日期:2016-08-25
卷期号:11 (9): 1757-1774
被引量:751
标识
DOI:10.1038/nprot.2016.105
摘要
Cell Painting is a high-content screening assay that uses multiplexed fluorescent dyes for image-based profiling of ∼1,500 morphological features. Image analysis with CellProfiler automatically identifies and extracts data from individual cells. In morphological profiling, quantitative data are extracted from microscopy images of cells to identify biologically relevant similarities and differences among samples based on these profiles. This protocol describes the design and execution of experiments using Cell Painting, which is a morphological profiling assay that multiplexes six fluorescent dyes, imaged in five channels, to reveal eight broadly relevant cellular components or organelles. Cells are plated in multiwell plates, perturbed with the treatments to be tested, stained, fixed, and imaged on a high-throughput microscope. Next, an automated image analysis software identifies individual cells and measures ∼1,500 morphological features (various measures of size, shape, texture, intensity, and so on) to produce a rich profile that is suitable for the detection of subtle phenotypes. Profiles of cell populations treated with different experimental perturbations can be compared to suit many goals, such as identifying the phenotypic impact of chemical or genetic perturbations, grouping compounds and/or genes into functional pathways, and identifying signatures of disease. Cell culture and image acquisition takes 2 weeks; feature extraction and data analysis take an additional 1–2 weeks.
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