Rxivist logo

Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes

By Mark-Anthony Bray, Shantanu Singh, Han Han, Chadwick T Davis, Blake Borgeson, Cathy Hartland, Maria Kost-Alimova, Sigrun M Gustafsdottir, Christopher C Gibson, Anne E. Carpenter

Posted 25 Apr 2016
bioRxiv DOI: 10.1101/049817 (published DOI: 10.1038/nprot.2016.105)

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, a morphological profiling assay multiplexing six fluorescent dyes imaged in five channels, to reveal eight broadly relevant cellular components or organelles. Cells are plated in multi-well plates, perturbed with the treatments to be tested, stained, fixed, and imaged on a high-throughput microscope. Then, automated image analysis software identifies individual cells and measures ~1,500 morphological features (various measures of size, shape, texture, intensity, etc.) to produce a rich profile suitable for detecting 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 two weeks; feature extraction and data analysis take an additional 1-2 weeks.

Download data

  • Downloaded 3,201 times
  • Download rankings, all-time:
    • Site-wide: 1,639 out of 89,518
    • In systems biology: 38 out of 2,311
  • Year to date:
    • Site-wide: 14,784 out of 89,518
  • Since beginning of last month:
    • Site-wide: 17,509 out of 89,518

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News