Pseudo-spectral angle mapping for pixel and cell classification in highly multiplexed immunofluorescence images
In summary, pSAM is a powerful and generalizable tool for evaluating high-plex IF image data and classifying cells in these high-dimensional images.
Authors
- Marcus R. Clark (ORCID: https://orcid.org/0000-0003-4747-0387)
- Gabriel Casella
- Anthony Chang (ORCID: https://orcid.org/0000-0002-6877-5510)
- Maryellen L. Giger (ORCID: https://orcid.org/0000-0001-5482-9728)
- Ariel Halper-Stromberg
- Bana Jabrì (ORCID: https://orcid.org/0000-0001-7427-4424)
- Junting Ai
- Madeleine Torcasso
- Thao Cao
Institutions
- University of Chicago (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1117/1.jmi.11.6.067502
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00