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While several automatic tail suspension test scoring programs have emerged, many researchers still prefer a manual scoring method for accuracy and reliability. However, manual scoring can introduce significant errors. Thus, in this work, we present a novel graphical user interface that assists in the manual scoring process to minimize possibility for errors. The GUI, which we refer to as \u201cTST Score Helper,\u201d minimizes errors through consolidation of the TST scoring procedure into a single cohesive program. Further, a rescore mode enhances rigor by enabling comparison of two different scorers\u2019 mobility status timelines and rereview of periods of disagreement. In a cohort of 64 male and 45 female mice subject to closed head injury or sham injury, we demonstrate the challenges with manual scoring and we characterize performance of the TST Score Helper program. The results show how this program can reduce sources of manual scoring error and improve the fidelity of results.<\/jats:p>","DOI":"10.1523\/eneuro.0318-25.2026","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T17:50:15Z","timestamp":1776102615000},"page":"ENEURO.0318-25.2026","update-policy":"https:\/\/doi.org\/10.1523\/eneuro.crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test"],"prefix":"10.1523","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8553-5909","authenticated-orcid":false,"given":"Sydney E.","family":"Triplett","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenxing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Sanz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shasha","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Levi B.","family":"Wood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erin M.","family":"Buckley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"393","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.1","doi-asserted-by":"publisher","DOI":"10.1515\/intox-2017-0006"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.2","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.63377"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.3","doi-asserted-by":"publisher","DOI":"10.1038\/jcbfm.2015.161"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.4","doi-asserted-by":"publisher","DOI":"10.3791\/3769"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2005.03.009"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.6","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1034823100"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.7","doi-asserted-by":"publisher","DOI":"10.3389\/fnbeh.2014.00252"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.8","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2023.1149027"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.9","doi-asserted-by":"publisher","DOI":"10.1016\/j.pbb.2006.08.016"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.10","doi-asserted-by":"publisher","DOI":"10.1007\/s00335-007-9029-1"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.11","doi-asserted-by":"crossref","first-page":"2654","DOI":"10.3390\/biomedicines12122654","article-title":"Chronic sleep deprivation causes anxiety, depression and impaired gut barrier in female mice\u2014correlation analysis from fecal microbiome and metabolome","volume":"12","author":"Li","year":"2024","journal-title":"Biomedicines"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.12","doi-asserted-by":"publisher","DOI":"10.1227\/NEU.0b013e318265a439"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.13","doi-asserted-by":"crossref","first-page":"110212","DOI":"10.1016\/j.jneumeth.2024.110212","article-title":"A deep-learning-based threshold-free method for automated analysis of rodent behavior in the forced swim test and tail suspension test","volume":"409","author":"Meng","year":"2024","journal-title":"J Neurosci Methods"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.14","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1523\/ENEURO.0305-21.2021","article-title":"DBscorer: an open-source software for automated accurate analysis of rodent behavior in forced swim test and tail suspension test","volume":"8","author":"Nandi","year":"2021","journal-title":"eNeuro"},{"key":"2026041310500889000_13.4.ENEURO.0318-25.2026.15","doi-asserted-by":"crossref","unstructured":"O\u2019Leary OF , Cryan FJ (2009) The trail-suspension test: a model for characterizing antidepressant activity in mice. 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