Evaluation of a commercial AI-assisted cell counting software for dopaminergic neurons across species.

Saved in:
Bibliographic Details
Title: Evaluation of a commercial AI-assisted cell counting software for dopaminergic neurons across species.
Authors: Kunugitani K; Department of Pharmacology, Kyoto University Graduate School of Medicine, Kyoto, Japan.; Kyoto University Hospital Integrated Clinical Education Center, Kyoto, Japan., Sawamura M; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Taguchi T; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Hirato T; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Uemura N; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.; Department of Neurological Disease Control, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan., Ayaki T; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Nakanishi E; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Yamakado H; Department of therapeutics for Multiple System Atrophy, Kyoto University Graduate School of Medicine, Kyoto, Japan., Ishimoto T; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Onoe H; Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan., Isa T; Department of Physiology and Neurobiology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Matsumoto R; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Takahashi R; Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Source: PloS one [PLoS One] 2026 Mar 17; Vol. 21 (3), pp. e0344621. Date of Electronic Publication: 2026 Mar 17 (Print Publication: 2026).
Publication Type: Journal Article; Evaluation Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1932-6203
DOI:10.1371/journal.pone.0344621