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Applications in image-based profiling of perturbations.

Author information

Affiliations

  • 1. Imaging Platform of the Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, USA; Fundación Universitaria Konrad Lorenz, Bogotá, Colombia.
      Authors
    • Caicedo JC 1
    (1 author)
  • 2. Imaging Platform of the Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, USA.
      Authors
    • Singh S 2
    • Carpenter AE 2
    (2 authors)

Current Opinion in Biotechnology, 17 Apr 2016, 39:134-142
https://doi.org/10.1016/j.copbio.2016.04.003 PMID: 27089218 

Review

Abstract 

A dramatic shift has occurred in how biologists use microscopy images. Whether experiments are small-scale or high-throughput, automatically quantifying biological properties in images is now widespread. We see yet another revolution under way: a transition towards using automated image analysis to not only identify phenotypes a biologist specifically seeks to measure ('screening') but also as an unbiased and sensitive tool to capture a wide variety of subtle features of cell (or organism) state ('profiling'). Mapping similarities among samples using image-based (morphological) profiling has tremendous potential to transform drug discovery, functional genomics, and basic biological research. Applications include target identification, lead hopping, library enrichment, functionally annotating genes/alleles, and identifying small molecule modulators of gene activity and disease-specific phenotypes.

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Read article at publisher's site: https://doi.org/10.1016/j.copbio.2016.04.003

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Funding 

Funders who supported this work.

National Science Foundation (2)