Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy

Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy

Mice are the most commonly used model animals for itch research and for development of anti-itch drugs. Most laboratories manually quantify mouse scratching behavior to assess itch intensity. This process is labor-intensive and limits large-scale genetic or drug screenings. In this study, we develop...

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Bibliographic Details
Main Authors: Huasheng Yu, Jingwei Xiong, Adam Yongxin Ye, Suna Li Cranfill, Tariq Cannonier, Mayank Gautam, Marina Zhang, Rayan Bilal, Jong-Eun Park, Yuji Xue, Vidhur Polam, Zora Vujovic, Daniel Dai, William Ong, Jasper Ip, Amanda Hsieh, Nour Mimouni, Alejandra Lozada, Medhini Sosale, Alex Ahn, Minghong Ma, Long Ding, Javier Arsuaga, Wenqin Luo
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-12-01
Series:eLife
Subjects:
itch
mouse behavior
scratching
deep learning
automatic quantification
Online Access:https://elifesciences.org/articles/84042

Internet

https://elifesciences.org/articles/84042

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