TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test

The tail suspension test (TST) is a well-known rodent behavioral test that assesses stress and depressive-like behavior. 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 "TST Score Helper," 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' 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.

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Publication Details

Journal
eNeuro
Published
2026-04-01
DOI
https://doi.org/10.1523/eneuro.0318-25.2026
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test

Sydney E. Triplett, Shasha Bai, Levi Benjamin Wood, Erin M. Buckley et al.
eNeuro
Zebrafish Biomedical Research Applications
article

TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test

Sydney E. Triplett, Shasha Bai, Levi Benjamin Wood, Erin M. Buckley, Paul I. Sanz, Chenxing Li
article en

Abstract

The tail suspension test (TST) is a well-known rodent behavioral test that assesses stress and depressive-like behavior. 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 "TST Score Helper," 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' 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.

eNeuroVol. 13(4)
Georgia Institute of Technology (US), Emory University (US), The Wallace H. Coulter Department of Biomedical Engineering (US), Children's Healthcare of Atlanta (US)
National Institutes of Health
Gender equality
Openalex Percentile: Top 20%
Zebrafish Biomedical Research Applications
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