Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | McQuin, C, Goodman, A, Chernyshev, V, Kamentsky, L, Cimini, BA, Karhohs, KW, Doan, M, Ding, L, Rafelski, SM, Thirstrup, D, Wiegraebe, W, Singh, S, Becker, T, Caicedo, JC, Carpenter, AE |
Journal | PLoS Biol |
Volume | 16 |
Issue | 7 |
Pages | e2005970 |
Date Published | 2018 Jul |
ISSN | 1545-7885 |
Abstract | CellProfiler has enabled the scientific research community to create flexible, modular image analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new version of the software supporting both whole-volume and plane-wise analysis of three-dimensional (3D) image stacks, increasingly common in biomedical research. CellProfiler's infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. Designed by and for biologists, CellProfiler equips researchers with powerful computational tools via a well-documented user interface, empowering biologists in all fields to create quantitative, reproducible image analysis workflows. |
DOI | 10.1371/journal.pbio.2005970 |
Pubmed | |
Alternate Journal | PLoS Biol. |
PubMed ID | 29969450 |
PubMed Central ID | PMC6029841 |
PLoS Biol DOI:10.1371/journal.pbio.2005970
CellProfiler 3.0: Next-generation image processing for biology.
Recent Broad Publications
News at the broad
News / 02.22.21