Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/134113
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dc.creatorFranco, NH-
dc.creatorGerós, A-
dc.creatorOliveira, L-
dc.creatorOlsson, IAS-
dc.creatorAguiar, P-
dc.date.accessioned2021-06-04T18:04:14Z-
dc.date.available2021-06-04T18:04:14Z-
dc.date.issued2019-
dc.identifier.issn0031-9384-
dc.identifier.urihttps://hdl.handle.net/10216/134113-
dc.description.abstractBody 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.pt_PT
dc.description.sponsorshipThis work was partially funded by National Funds through FCT – Fundação para a Ciência e a Tecnologia under the project SRecognite Infect-ERA/0003/2015 that also funds Liliana Oliveira. Equipment was partially funded by a UFAW Small Travel and Project Award for Nuno Franco (UFAW Grant 25-2016/2017). Funding also by FEDER – Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 - Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT - Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274). Ana Gerós is funded by FCT – Fundacão para a Ciência e a Tecnologia, grant contract SFRH/BD/137385/2018. We would like to thank Joaquim Gabriel Mendes and Ricardo Vardasca, at the University of Porto Faculty of Engineering, for carrying out the tests with a blackbody radiation source.pt_PT
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relation.ispartofseriesPhysiology & behavior, vol. 207, p. 113-121pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectAnalysis softwarept_PT
dc.subjectInfrared thermographypt_PT
dc.subjectLPS-induced hypothermiapt_PT
dc.subjectMean body surface temperaturept_PT
dc.subjectMicept_PT
dc.subjectTemperature variationpt_PT
dc.titleThermoLabAnimal - A high-throughput analysis software for non-invasive thermal assessment of laboratory micept_PT
dc.typeArtigo em Revista Científica Internacionalpt_PT
dc.contributor.uportoInstituto de Investigação e Inovação em Saúdept_PT
dc.identifier.doi10.1016/j.physbeh.2019.05.004-
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0031938419302549?via%3Dihub-
Appears in Collections:I3S - Artigo em Revista Científica Internacional

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