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CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Open accessAbstract
Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).
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“The images of YAP immunostaining and nuclear Hoechst were analyzed with a custom Acapella (PerkinElmer) script as previously reported or with CellProfiler (Carpenter et al., 2006).”
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Exploring Targeted Degradation Strategy for Oncogenic KRASG12C
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ESCRT-mediated phagophore sealing during mitophagy
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Cellular communities reveal trajectories of brain ageing and Alzheimer’s disease
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A Small-Molecule Oral Agonist of the Human Glucagon-like Peptide-1 Receptor
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Metadata
- Authors
- Carpenter, A. E., Jones, T. R., Lamprecht, M. R., Clarke, C., Kang, I. H., Friman, O., Guertin, D. A., Chang, J. H., Lindquist, R. A., Moffat, J., Golland, P., & Sabatini, D. M.
- Venue
- Genome Biology
- Published
- 2006-10-31
- Volume
- 7
- Issue
- 10
- Pages
- R100-R100
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2107554012
- Cited by
- 5,157
- References
- 3
- FWCI
- 28.53
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/2.0/ (tdm)
- creativecommons.org/licenses/by/2.0/ (vor)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
