Fast learning-free organoid quantification and tracking with OrganoSeg2.

Saved in:
Bibliographic Details
Title: Fast learning-free organoid quantification and tracking with OrganoSeg2.
Authors: Wells CJ; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA., Labban N; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA., Showalter SL; Division of Surgical Oncology, Department of Surgery, University of Virginia, Charlottesville, VA, 22908, USA., Przanowska RK; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA., Janes KA; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA. kjanes@virginia.edu.; Department of Biochemistry & Molecular Genetics, Charlottesville, VA, 22908, USA. kjanes@virginia.edu.
Source: Scientific reports [Sci Rep] 2026 Feb 09; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-37526-7