Data-analysis strategies for image-based cell profiling. Academic Article uri icon

Overview

abstract

  • Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic differences among a variety of cell populations. It paves the way to studying biological systems on a large scale by using chemical and genetic perturbations. The general workflow for this technology involves image acquisition with high-throughput microscopy systems and subsequent image processing and analysis. Here, we introduce the steps required to create high-quality image-based (i.e., morphological) profiles from a collection of microscopy images. We recommend techniques that have proven useful in each stage of the data analysis process, on the basis of the experience of 20 laboratories worldwide that are refining their image-based cell-profiling methodologies in pursuit of biological discovery. The recommended techniques cover alternatives that may suit various biological goals, experimental designs, and laboratories' preferences.

publication date

  • August 31, 2017

Research

keywords

  • Cell Tracking
  • High-Throughput Screening Assays
  • Image Interpretation, Computer-Assisted
  • Microscopy
  • Pattern Recognition, Automated
  • Tissue Array Analysis

Identity

PubMed Central ID

  • PMC6871000

Scopus Document Identifier

  • 85028727120

Digital Object Identifier (DOI)

  • 10.1038/nmeth.4397

PubMed ID

  • 28858338

Additional Document Info

volume

  • 14

issue

  • 9