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PAW, a cost-effective and open-source alternative to commercial rodent running wheels.
Terstege, Dylan J; Epp, Jonathan R.
Affiliation
  • Terstege DJ; Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, Alberta T2N 4N1, Canada.
  • Epp JR; Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, Alberta T2N 4N1, Canada.
HardwareX ; 17: e00499, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38204596
ABSTRACT
Voluntary wheel running is a common measure of general activity in many rodent models across neuroscience and physiology. However, current commercial wheel monitoring systems can be cost-prohibitive to many investigators, with many of these systems requiring investments of thousands of dollars. In recent years, several open-source alternatives have been developed, and while these tools are much more cost effective than commercial system, they often lack the flexibility to be applied to a wide variety of projects. Here, we have developed PAW, a 3D Printable Arduino-based Wheel logger. PAW is wireless, fully self-contained, easy to assemble, and all components necessary for its production can be obtained for only $75 CAD. Furthermore, with its compact internal electronics, the 3D printed casing can be easily modified to be used with a wide variety of running wheel designs for a wide variety of rodent species. Data recorded with the PAW system shows circadian patterns of activity which is expected from mice and is consistent with results found in the literature. Altogether, PAW is a flexible, low-cost system that can be beneficial to a broad range of researchers who study rodent models.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Health_economic_evaluation Language: En Journal: HardwareX Year: 2024 Document type: Article Affiliation country: Canada Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Health_economic_evaluation Language: En Journal: HardwareX Year: 2024 Document type: Article Affiliation country: Canada Country of publication: United kingdom