TrAQ: A novel, versatile, semi-automated, two-dimensional motor behavioural tracking software
We present TrAQ, a new MATLAB-based two-dimensional tracking software for Open Field video analysis of an unmarked single animal. TrAQ allows automatic recognition of the animal within a user-defined arena, providing a full range of quantitative kinematic behavioral parameters. TrAQ, free and non-species-specific application, was quantitively tested with rodents. Within free software an innovative feature of TrAQ is the automated counting of in-plane rotations, an important parameter in the 6-hydroxydopamine hemiparkinsonian rat model and in many rodent models of neurodegenerative diseases, and a very time-consuming manual task for highly trained human operators. Quantitative results were successfully validated against commercial software (for tracking) and manual annotation (for rotations in a hemiparkinsonian rat model). TrAQ allows the characterization of motor asymmetry using non-invasive tools, thus appreciating the spontaneous Open Field behaviour of unmarked single animal, with minimum user intervention.
Authors
- Marcello Alecci (ORCID: https://orcid.org/0000-0002-3958-992X)
- Ilaria Rosa (ORCID: https://orcid.org/0000-0002-1834-1757)
- Angelo Galante (ORCID: https://orcid.org/0000-0002-3228-7785)
- Brigida Ranieri (ORCID: https://orcid.org/0000-0003-4880-5679)
- Tiziana M. Florio (ORCID: https://orcid.org/0000-0003-1770-2845)
- Davide Di Censo (ORCID: https://orcid.org/0000-0001-6116-607X)
- Tiziana Di Lorenzo (ORCID: https://orcid.org/0000-0003-2060-8294)
Institutions
- University of L'Aquila (IT)
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran Sasso (IT)
- University of Chieti-Pescara (IT)
- Institute of Ecosystem Study (IT)
- Research Institute on Sustainable Economic Growth (IT)
- National Research Council (IT)
Publication Details
- Journal
- SoftwareX
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1016/j.softx.2025.102138
- Primary Topic
- Zebrafish Biomedical Research Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero dell’Istruzione, dell’Università e della Ricerca