Abstract

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. 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. 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.

Keywords

Computer scienceUsabilityWorkflowSoftwareModular designInterface (matter)Pipeline (software)Data miningProcess (computing)Human–computer interactionDatabaseOperating system

MeSH Terms

Image ProcessingComputer-AssistedMicroscopySoftwareWorkflow

Affiliated Institutions

Related Publications

Publication Info

Year
2021
Type
article
Volume
22
Issue
1
Pages
433-433
Citations
1846
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1846
OpenAlex
147
Influential

Cite This

David R. Stirling, Madison J. Swain-Bowden, Alice Lucas et al. (2021). CellProfiler 4: improvements in speed, utility and usability. BMC Bioinformatics , 22 (1) , 433-433. https://doi.org/10.1186/s12859-021-04344-9

Identifiers

DOI
10.1186/s12859-021-04344-9
PMID
34507520
PMCID
PMC8431850

Data Quality

Data completeness: 90%