4.6 Article

CellProfiler 4: improvements in speed, utility and usability

期刊

BMC BIOINFORMATICS
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12859-021-04344-9

关键词

Image analysis; Microscopy; Image segmentation; Image quantitation; Bioimaging

资金

  1. National Institutes of Health [R35 GM122547, P41 GM135019]
  2. Chan Zuckerberg Initiative DAF [2018-192059, 2020-225720]
  3. Silicon Valley Community Foundation

向作者/读者索取更多资源

This study introduces CellProfiler 4, a new version of image analysis software with improved user interface and expanded functionality based on user feedback. Performance enhancements and optimizations have been made for large-scale analysis pipelines, providing researchers with significantly improved computational tools for extracting biological information effectively.
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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