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Open-source software to calculate the static sciatic index automatically

Laranjeira, Simão; Guillemot-Legris, Owein; Girmahun, Gedion; Phillips, James B; Shipley, Rebecca J; (2025) Open-source software to calculate the static sciatic index automatically. Regenerative Medicine , 20 (2-3) pp. 77-85. 10.1080/17460751.2025.2476390. Green open access

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Abstract

Background: The static sciatic index is commonly used in rat models of nerve crush injury to quantify functional recovery from new therapies under evaluation. However, it is challenging to standardize these measurements across different investigations, and the process is labor intensive. // Material/methods: A new machine learning method was previously developed that performs these measurements automatically and consistently. Here, the approach is tested using two data sets that use different experimental setups, and end-user requirements are evaluated. // Results: The model’s outputs presented a nerve regeneration profile comparable to the manual measurements and outperformed the latter by having a much tighter standard deviation (± 5- ± 10 compared to ± 10 - ± 50). // Conclusion: An inexpensive automatic tool that can perform functional analysis for nerve repair research was developed and tested. The software is available open source to facilitate its dissemination and use in quantifying recovery from peripheral nerve crush injury.

Type: Article
Title: Open-source software to calculate the static sciatic index automatically
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/17460751.2025.2476390
Publisher version: https://doi.org/10.1080/17460751.2025.2476390
Language: English
Additional information: Copyright © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Keywords: Repair; technology platforms; tools and services; tissue engineering; regeneration
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Pharmacology
URI: https://discovery.ucl.ac.uk/id/eprint/10208052
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