Kaha Sciences Mouse Telemetry System
The Kaha Sciences Mouse Telementry System allows signals like movement and temperature to be tracked over time when mice are in their home cages. This avoids the handling of mice, which inteferes with their natural physiological function.
Purpose
The .ASC output from the telemetry devices show the timestamps for temperature and locomotor activity values. This repository :
- Converts this output into a time binned file.
- Separates the temperature and locomotor activity data into separate sheets.
Preview of the graphical user interface
Input and output data
Install Anaconda Navigator.
Open Anaconda Prompt (on Mac open terminal and install X-Code when prompted).
Download this repository to your home directory by typing in the line below.
git clone https://github.com/Andrews-Lab/Telemetry_time_bins.git
Change the directory to the place where the downloaded folder is.
cd Telemetry_time_bins
Create a conda environment and install the dependencies.
conda env create -n TTB -f Dependencies.yaml
Open Anaconda Prompt (on Mac open terminal).
Change the directory to the place where the git clone was made.
cd Telemetry_time_bins
Activate the conda environment.
conda activate TTB
Run the codes.
python Telemetry.py
View the guide about how to analyse your telemetry data.
Author:
Harry Dempsey (Andrews lab and Foldi lab)
Credits:
Sarah Lockie, Zane Andrews
About the labs:
The Lockie lab studies how hunger signalling in the brain drives mood-related behaviour, memory, motivation and metabolism in mouse models of disease.
The Andrews lab investigates how the brain senses and responds to hunger.
The Foldi lab investigates the biological underpinnings of anorexia nervosa and feeding disorders.