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.
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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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