Data-analysis strategies for image-based cell profiling

doi:10.1038/NMETH.4397

Data-analysis strategies for image-based cell profiling

2017-09-01

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Harmanjit Singh Bansal

Mohammad Hossein Rohban

DOI：10.1038/NMETH.4397

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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.

Keywords:

THROUGHPUT SCREENING DATA

MICROSCOPY IMAGES

DRUG RESPONSES

ILLUMINATION-CORRECTION

NORMALIZATION METHODS

GENETIC INTERACTIONS

STATISTICAL-METHODS

FUNCTIONAL-ANALYSIS

ASSAY QUALITY

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Data-analysis strategies for image-based cell profiling

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