Protocol for inferring mechanical stresses in tissues using ForSys, an open-source Python tool

Borges A, Miranda-Rodríguez JR, Ceccarelli AS, Ventura G, Sedzinski J, López-Schier H, Chara O (2026)

Publication Type: Journal article

Publication year: 2026

Journal

STAR Protocols Cell Press

Book Volume: 7

Article Number: 104595

Journal Issue: 2

DOI: 10.1016/j.xpro.2026.104595

Abstract

Stress inference offers a rapid computational approach for estimating the mechanical state of a tissue without requiring invasive experiments. Here, we present a protocol for inferring mechanical stresses in tissues using ForSys, an open-source Python tool. We describe steps for preparing the Python environment, using the command-line interface, installing and using the graphical user interface (GUI), and importing data. We then detail procedures for correcting automatic connections between time points, determining scale parameters, and plotting and quantifying the inference results. For complete details on the use and execution of this protocol, please refer to Borges et al. 1

Involved external institutions

University of Copenhagen DK Denmark (DK) University of Nottingham GB United Kingdom (GB) University of Cambridge GB United Kingdom (GB) Instituto de Neurobiología MX Mexico (MX) Forschungsinstitut für Molekulare Pathologie / Research Institute of Molecular Pathology (IMP) AT Austria (AT) New York University Abu Dhabi (NYU Abu Dhabi) AE United Arab Emirates (AE)

How to cite

APA:

Borges, A., Miranda-Rodríguez, J.R., Ceccarelli, A.S., Ventura, G., Sedzinski, J., López-Schier, H., & Chara, O. (2026). Protocol for inferring mechanical stresses in tissues using ForSys, an open-source Python tool. STAR Protocols, 7(2). https://doi.org/10.1016/j.xpro.2026.104595

MLA:

Borges, Augusto, et al. "Protocol for inferring mechanical stresses in tissues using ForSys, an open-source Python tool." STAR Protocols 7.2 (2026).

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