An independent replicability study of MesoNet for automated segmentation and landmark identification in functional widefield optical imaging in mice

Aurora Yuan, Hayden B. Fisher, Jonah Padawer-Curry, Adam Q. Bauer, Brian R. White

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

MesoNet is an automated landmark identification and segmentation program for widefield optical imaging in mice. Using a multi-institutional dataset to assess external reliability we find promising results, but errors that prevent use without retraining.

Original languageEnglish
Title of host publicationOptical Tomography and Spectroscopy, OT and S 2024 in Proceedings Optica Biophotonics Congress
Subtitle of host publicationBiomedical Optics 2024, Translational, Microscopy, OCT, OTS, BRAIN - Part of Optica Biophotonics Congress: Biomedical Optics
PublisherOptical Society of America
ISBN (Electronic)9781957171340
DOIs
StatePublished - 2024
EventOptical Tomography and Spectroscopy, OT and S 2024 - Part of Optica Biophotonics Congress: Biomedical Optics - Fort Lauderdale, United States
Duration: Apr 7 2024Apr 10 2024

Publication series

NameOptical Tomography and Spectroscopy, OT and S 2024 in Proceedings Optica Biophotonics Congress: Biomedical Optics 2024, Translational, Microscopy, OCT, OTS, BRAIN - Part of Optica Biophotonics Congress: Biomedical Optics

Conference

ConferenceOptical Tomography and Spectroscopy, OT and S 2024 - Part of Optica Biophotonics Congress: Biomedical Optics
Country/TerritoryUnited States
CityFort Lauderdale
Period04/7/2404/10/24

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