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A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

Published on: May 21, 2020

PiE: an open-source pipeline for home cage behavioral analysis.

Jessie Benedict¹, Robert H Cudmore²

¹The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Frontiers in Neuroscience

|August 16, 2023

Summary

We developed PiE, an open-source rodent behavior assay system. This inexpensive, scalable platform offers remote control, video recording, and streamlined data analysis for neuroscience research.

Keywords:

Raspberry – Pi behavioiral neuroscience home cage activity monitoring open source video analysis

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Area of Science:

Neuroscience
Behavioral Science
Animal Behavior

Background:

Rodent behavioral assays are crucial in neuroscience research.
Existing proprietary systems are costly, sensor-limited, and use closed-source software.
Environmental and experimenter disruptions can confound behavioral data.

Purpose of the Study:

Introduce PiE, an open-source, cost-effective, and scalable behavior assay system.
Provide a user-configurable solution for controlling and monitoring rodent behavior experiments.
Streamline the entire pipeline from data collection to analysis.

Main Methods:

Developed an integrated system including a custom behavior box and control software.
Enabled remote experiment control and monitoring via a web browser interface.
Created a desktop application for streamlined, blinded manual scoring of video data.

Main Results:

The PiE system facilitates continuous video recording and environmental control.
Remote web interface allows scalable control of multiple boxes and data synchronization.
Included software supports blinded scoring and data import for analysis (e.g., in R).

Conclusions:

PiE offers an accessible, flexible, and scalable solution for rodent behavior assays.
The open-source system reduces costs and overcomes limitations of proprietary equipment.
Suitable for various video-based behavioral studies, adaptable for users with no coding experience.