Topology-based fluorescence image analysis for automated cell identification and segmentation.
Saved in:
| Title: | Topology-based fluorescence image analysis for automated cell identification and segmentation. |
|---|---|
| Authors: | Panconi L; Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK., Makarova M; Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK., Lambert ER; Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK., May RC; School of Biosciences and Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK., Owen DM; Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham, Birmingham, UK. |
| Source: | Journal of biophotonics [J Biophotonics] 2023 Mar; Vol. 16 (3), pp. e202200199. Date of Electronic Publication: 2022 Nov 25. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101318567 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1864-0648 (Electronic) Linking ISSN: 1864063X NLM ISO Abbreviation: J Biophotonics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1864-0648 |
|---|---|
| DOI: | 10.1002/jbio.202200199 |
