Work

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

Year: 2026

Type: preprint

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.

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.64898/2026.11.06.764820

Authors: Sam de Blank, Emilio Rios-Jimenez, Alejandra Rubio-Munoz, Oliver Hoffman, Britt M. T. Vervoort, Amber K. L. Wezenaar, Jessica K. Mazalo, Miguel Molina-Moreno, Hsin-Fang Chang, Ellen J. Wehrens, Anne C. Rios, Maria Alieva

Institutions: Oncode Institute, Princess Máxima Center, Consejo Superior de Investigaciones Científicas, Instituto de Investigaciones Biomédicas Sols-Morreale, Universidad Autónoma de Madrid, Saarland University, Utrecht University

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7225653057

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