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Measuring the Strength of Mice
Published on: June 2, 2013
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A hacked kitchen scale-based system for quantification of grip strength in rodents
Jan Homolak1, Davor Virag1, Ivan Kodvanj1
1Department of Pharmacology, University of Zagreb School of Medicine, Zagreb, Croatia; Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Computers in Biology and Medicine
|March 15, 2022
Summary
This study presents griPASTA, an affordable, open-source rodent grip strength meter built with a digital scale and microcontroller. The system reliably measures neuromuscular function and muscular rigidity in disease models, like Parkinson's disease.
Area of Science:
- Neuroscience
- Bioinstrumentation
- Animal Models
Background:
- Assessing neuromuscular function is vital for studying motor system dysfunction in rodent disease models.
- Commercial grip strength meters are often unaffordable, limiting research accessibility.
- Open-source bioinstrumentation principles promote modularity and flexibility.
Purpose of the Study:
- To demonstrate the construction of a low-cost, open-source rodent grip strength apparatus.
- To provide a flexible and modular alternative to commercial instruments.
- To validate the system's reliability in a Parkinson's disease rat model.
Main Methods:
- A NodeMCU ESP-32S microcontroller was integrated with a digital kitchen scale.
- Custom open-source scripts were developed for data acquisition and analysis using the ratPASTA package.
- The griPASTA system was validated by measuring muscular rigidity in a 6-hydroxydopamine-induced rat model of Parkinson's disease.
Main Results:
- The griPASTA system allows for raw data collection and control of confounding factors.
- Significantly increased muscular rigidity was observed in the Parkinson's disease rat model.
- Neither trial speed nor animal weight were identified as significant confounders.
Conclusions:
- The griPASTA system offers a cost-effective, precise, and dependable method for rodent grip strength measurement.
- It utilizes readily available equipment and open-source software, enhancing research accessibility.
- This approach aligns with open-source bioinstrumentation principles for adaptable research tools.

