CRISP: correlation-refined image segmentation process
Inaccurate cell masking can result in inaccurate scientific interpretations of calcium images. Utilizing interpixel correlations, we developed two transparent algorithms that can be used for image segmentation in densely packed tissues. These algorithms may allow for more accurate and reproducible cell masking.
Authors
- Jennifer K. Briggs (ORCID: https://orcid.org/0000-0002-8737-2215)
- Richard K.P. Benninger (ORCID: https://orcid.org/0000-0002-5063-6096)
- Matthew J. Merrins (ORCID: https://orcid.org/0000-0003-1599-9227)
- Erli Jin
Institutions
- University of Wisconsin–Madison (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1186/s12859-025-06150-z
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- National Science Foundation
- U.S. Department of Veterans Affairs
- University of Wisconsin-Madison
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases