Data-analysis strategies for image-based cell profiling.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 28858338.
- Also identified by DOI 10.1038/nmeth.4397 and PMC identifier 6871000.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Cell Tracking
- High-Throughput Screening Assays
- Image Interpretation, Computer-Assisted
- Microscopy
- Pattern Recognition, Automated
- Tissue Array Analysis