Literature DB >> 31078672

ThermoLabAnimal - A high-throughput analysis software for non-invasive thermal assessment of laboratory mice.

Nuno Henrique Franco1, Ana Gerós2, Liliana Oliveira1, I Anna S Olsson1, Paulo Aguiar3.   

Abstract

Body temperature changes in laboratory mice are often assessed by invasive and stressful methods, which may confound the measurement. Infrared thermography is a possible non-invasive alternative, but the cost of standard thermal cameras, lack of dedicated software for biomedical purposes, and labour-intensiveness of thermal image analysis have limited their use. An additional limitation lies on the scarcity of research on the causing factors of differences between body surface and core body temperature. We propose a method for automatic assessment of mean body surface temperature in freely-moving mice, using dedicated software for thermal image analysis. While skin surface temperature may not necessarily be linearly correlated with core body temperature (in itself an imprecise concept), under standardized environmental conditions, such as those in which laboratory animals are kept, mean body surface temperature can provide useful information on their thermal status (i.e. deviations from normothermia, namely hypo- and hyperthermia). We developed a publicly available software that includes an imaging analysis workflow/algorithm for automatic segmentation of the pixels associated with the animal from the pixels associated with the background, removing the need for manually defining the area of analysis. A batch analysis mode is also available, for automatic and high-throughput analysis of all image files located in a folder. The software is compatible with the most widespread thermal camera manufacturer, 'FLIR Systems', as well as with the low-cost 'Thermal Expert TE-Q1' miniaturized high-resolution thermal camera used for this study. Furthermore, the software has been validated in a mouse model expressing non-transient hypothermia, where the thermal analysis results were compared with readings from implanted thermo-sensitive passive integrated transponders tags. Thermography allows for thermal assessment of laboratory animals without the effect of handling stress on their physiology or behaviour. Our automatic image analysis software also removes observer errors and bias, while speeding up the data processing.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Analysis software; Infrared thermography; LPS-induced hypothermia; Mean body surface temperature; Mice; Temperature variation

Mesh:

Substances:

Year:  2019        PMID: 31078672     DOI: 10.1016/j.physbeh.2019.05.004

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  4 in total

1.  Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review.

Authors:  Kaitlin Wurtz; Irene Camerlink; Richard B D'Eath; Alberto Peña Fernández; Tomas Norton; Juan Steibel; Janice Siegford
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

Review 2.  Infrared thermal imaging associated with pain in laboratory animals.

Authors:  Daniel Mota-Rojas; Adriana Olmos-Hernández; Antonio Verduzco-Mendoza; Hugo Lecona-Butrón; Julio Martínez-Burnes; Patricia Mora-Medina; Jocelyn Gómez-Prado; Agustín Orihuela
Journal:  Exp Anim       Date:  2020-08-25

3.  Non-Invasive Assessment of Mild Stress-Induced Hyperthermia by Infrared Thermography in Laboratory Mice.

Authors:  Urša Blenkuš; Ana Filipa Gerós; Cristiana Carpinteiro; Paulo de Castro Aguiar; I Anna S Olsson; Nuno Henrique Franco
Journal:  Animals (Basel)       Date:  2022-01-12       Impact factor: 2.752

Review 4.  Experimental Applications and Factors Involved in Validating Thermal Windows Using Infrared Thermography to Assess the Health and Thermostability of Laboratory Animals.

Authors:  Antonio Verduzco-Mendoza; Antonio Bueno-Nava; Dehua Wang; Julio Martínez-Burnes; Adriana Olmos-Hernández; Alejandro Casas; Adriana Domínguez; Daniel Mota-Rojas
Journal:  Animals (Basel)       Date:  2021-12-03       Impact factor: 2.752

  4 in total

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