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PreprintCC BY-NC-NDbioRxiv

BEHAV3D-Explorer enables natural language-assisted profiling of 3D cellular dynamics

  • S. de Blank
  • E. Rios-Jimenez
  • A. Rubio-Munoz
  • O. Hoffman
  • B. M. T. Vervoort
  • A. K. L. Wezenaar
  • J. K. Mazalo
  • M. Molina-Moreno
  • H.-F. Chang
  • E. J. Wehrens
  • A. C. Rios
  • M. Alieva1
  1. 1Institute for Biomedical Research Sols-Morreale (IIBM), Spanish National Research Council (CSIC)-Universidad Autonoma de Madrid, Madrid, Spain
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Abstract

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.

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Cite

BibTeXRIS
BibTeX
@misc{blank2026behav3dexplorer,
  title = {{BEHAV3D-Explorer enables natural language-assisted profiling of 3D cellular dynamics}},
  author = {S. de Blank and E. Rios-Jimenez and A. Rubio-Munoz and O. Hoffman and B. M. T. Vervoort and A. K. L. Wezenaar and J. K. Mazalo and M. Molina-Moreno and H.-F. Chang and E. J. Wehrens and A. C. Rios and M. Alieva},
  howpublished = {bioRxiv},
  year = {2026},
  month = nov,
  doi = {10.64898/2026.11.06.764820},
  url = {https://www.biorxiv.org/content/10.64898/2026.11.06.764820v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - BEHAV3D-Explorer enables natural language-assisted profiling of 3D cellular dynamics
AU  - S. de Blank
AU  - E. Rios-Jimenez
AU  - A. Rubio-Munoz
AU  - O. Hoffman
AU  - B. M. T. Vervoort
AU  - A. K. L. Wezenaar
AU  - J. K. Mazalo
AU  - M. Molina-Moreno
AU  - H.-F. Chang
AU  - E. J. Wehrens
AU  - A. C. Rios
AU  - M. Alieva
PY  - 2026
DA  - 2026/11/06
PB  - bioRxiv
DO  - 10.64898/2026.11.06.764820
UR  - https://www.biorxiv.org/content/10.64898/2026.11.06.764820v1
AB  - 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.
ER  -