The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
CellProfiler 4: improvements in speed, utility and usability
Open accessAbstract
Background: Imaging data contains a substantial amount of information which can be difficult to evaluate by eye. With the expansion of high throughput microscopy methodologies producing increasingly large datasets, automated and objective analysis of the resulting images is essential to effectively extract biological information from this data. CellProfiler is a free, open source image analysis program which enables researchers to generate modular pipelines with which to process microscopy images into interpretable measurements. Results: Herein we describe CellProfiler 4, a new version of this software with expanded functionality. Based on user feedback, we have made several user interface refinements to improve the usability of the software. We introduced new modules to expand the capabilities of the software. We also evaluated performance and made targeted optimizations to reduce the time and cost associated with running common large-scale analysis pipelines. Conclusions: CellProfiler 4 provides significantly improved performance in complex workflows compared to previous versions. This release will ensure that researchers will have continued access to CellProfiler’s powerful computational tools in the coming years.
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Cited by
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Nelson, M. R., Liu, P., Agrawal, A., Yip, O., Blumenfeld, J., Traglia, M., Kim, M. J., Koutsodendris, N., Rao, A., Grone, B., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01480-8 · Cited by 120
Metadata
- Authors
- Stirling, D. R., Swain-Bowden, M. J., Lucas, A. M., Carpenter, A. E., Cimini, B. A., & Goodman, A.
- Venue
- BMC Bioinformatics
- Published
- 2021-09-10
- Volume
- 22
- Issue
- 1
- Pages
- 433-433
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W3196897371
- Cited by
- 2,070
- References
- 19
- FWCI
- 105.93
- Type
- journal article
- Language
- en
- Open access
- gold
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