Bridging the gap: umIT makes complex imaging data accessible to scientists of all backgrounds
This toolbox aims to make mesoscale imaging more accessible and transparent, facilitating robust comparisons across regions, groups, and time points (longitudinal studies). Importantly, umIT was also designed to facilitate intuitive interaction with mesoscale data, an aspect that may be particularly valuable for trainees who are just beginning to work with wide-field optical imaging.
Authors
- Carlo Albert (ORCID: https://orcid.org/0000-0001-9160-9601)
- Matilde Balbi (ORCID: https://orcid.org/0000-0003-4590-5447)
- Matthieu P. Vanni (ORCID: https://orcid.org/0000-0002-5425-4167)
- Jean‐François Bouchard (ORCID: https://orcid.org/0000-0001-9622-6239)
- Montana Samantzis (ORCID: https://orcid.org/0000-0002-8332-3117)
- Samuel Bélanger
- Bruno Souza
Institutions
- The University of Queensland (AU)
- Queensland Eye Institute (AU)
- Université de Montréal (CA)
- Association for Canadian Studies (CA)
- École de Technologie Supérieure (CA)
Publication Details
- Journal
- Neurophotonics
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1117/1.nph.12.s1.s14616
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Réseau en Bio-Imagerie du Quebec
- Mitacs
- Natural Sciences and Engineering Research Council of Canada
- Fonds de Recherche du Québec - Santé
- National Health and Medical Research Council