BEHAV3D-Explorer enables natural language-assisted profiling of 3D cellular dynamics
Obtaining quantitative measurements from live 3D microscopy remains difficult to implement across research settings, particularly without profound image-analysis expertise. We present BEHAV3D-Explorer, an interactive, user-friendly platform that uses natural-language guidance to help users select analysis strategies, tune parameters and configure workflows. BEHAV3D-Explorer enables time-resolved behavioral classification and integrates it with morphological, interaction and functional analyses, thereby connecting dynamic readouts to yield interpretable results across imaging applications.
Authors
- Miguel Molina-Moreno (ORCID: https://orcid.org/0000-0002-3493-7470)
- Britt M. T. Vervoort
- Ellen J. Wehrens (ORCID: https://orcid.org/0000-0003-4307-3181)
- Sam de Blank (ORCID: https://orcid.org/0000-0003-2191-5675)
- Jessica K. Mazalo (ORCID: https://orcid.org/0000-0002-7505-3284)
- Alejandra Rubio-Muñoz (ORCID: https://orcid.org/0009-0003-7480-911X)
- María Alieva (ORCID: https://orcid.org/0000-0002-1425-9908)
- Anne C. Rios (ORCID: https://orcid.org/0000-0002-9082-8068)
- Amber K. L. Wezenaar (ORCID: https://orcid.org/0000-0002-1638-1851)
- Emilio Rios-Jimenez (ORCID: https://orcid.org/0009-0002-4032-8716)
- Hsin-Fang Chang
- Oliver Hoffman
Institutions
- Consejo Superior de Investigaciones Científicas (ES)
- Utrecht University (NL)
- Instituto de Investigaciones Biomédicas Sols-Morreale (ES)
- Oncode Institute (NL)
- Princess Máxima Center (NL)
- Universidad Autónoma de Madrid (ES)
- Saarland University (DE)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.64898/2026.11.06.764820
- Primary Topic
- Cell Image Analysis Techniques
- Type
- preprint