{"doi":"10.7554/elife.84042","title":"Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy","abstract":"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 developed a new system, Scratch-AID ( A utomatic I tch D etection), which could automatically identify and quantify mouse scratching behavior with high accuracy. Our system included a custom-designed videotaping box to ensure high-quality and replicable mouse behavior recording and a convolutional recurrent neural network trained with frame-labeled mouse scratching behavior videos, induced by nape injection of chloroquine. The best trained network achieved 97.6% recall and 96.9% precision on previously unseen test videos. Remarkably, Scratch-AID could reliably identify scratching behavior in other major mouse itch models, including the acute cheek model, the histaminergic model, and a chronic itch model. Moreover, our system detected significant differences in scratching behavior between control and mice treated with an anti-itch drug. Taken together, we have established a novel deep learning-based system that could replace manual quantification for mouse scratching behavior in different itch models and for drug screening.","journal":"eLife","year":2022,"id":261648,"datarank":0.55479741170387,"base_score":2.772588722239781,"endowment":2.772588722239781,"self_citation_contribution":0.41588830833596724,"citation_network_contribution":0.13890910336790274,"self_endowment_contribution":0.41588830833596724,"citer_contribution":0.13890910336790274,"corpus_percentile":null,"corpus_rank":null,"citation_count":15,"citer_count":12,"citers_with_citation_signal":8,"citers_with_endowment":8,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9536,"is_data_producer":true,"deposit_databanks":{"Dryad":["10.5061/dryad.mw6m9060s"]},"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":916510,"name":"Jingwei Xiong","orcid":"0000-0003-2667-4233","position":1,"is_corresponding":false},{"id":33696,"name":"Adam Yongxin Ye","orcid":"0000-0002-1542-0740","position":2,"is_corresponding":false},{"id":873922,"name":"Suna Li Cranfill","orcid":"0000-0002-3431-0061","position":3,"is_corresponding":false},{"id":916947,"name":"Tariq Cannonier","orcid":null,"position":4,"is_corresponding":false},{"id":674912,"name":"Mayank Gautam","orcid":"0000-0002-7257-5837","position":5,"is_corresponding":false},{"id":916511,"name":"Marina Yue Zhang","orcid":"0000-0002-9957-050X","position":6,"is_corresponding":false},{"id":916948,"name":"Rayan Bilal","orcid":null,"position":7,"is_corresponding":false},{"id":49865,"name":"Jong-Eun Park","orcid":"0000-0002-1687-2423","position":8,"is_corresponding":false},{"id":916949,"name":"Yuji Xue","orcid":null,"position":9,"is_corresponding":false},{"id":916950,"name":"Vidhur Polam","orcid":null,"position":10,"is_corresponding":false},{"id":916951,"name":"Zora Vujovic","orcid":null,"position":11,"is_corresponding":false},{"id":916952,"name":"Daniel Dai","orcid":null,"position":12,"is_corresponding":false},{"id":916953,"name":"William Ong","orcid":null,"position":13,"is_corresponding":false},{"id":916512,"name":"Jasper Ip","orcid":"0000-0001-9773-1544","position":14,"is_corresponding":false},{"id":916954,"name":"Amanda Hsieh","orcid":null,"position":15,"is_corresponding":false},{"id":916955,"name":"Nour Mimouni","orcid":null,"position":16,"is_corresponding":false},{"id":916956,"name":"Alejandra Lozada","orcid":null,"position":17,"is_corresponding":false},{"id":916957,"name":"Medhini Sosale","orcid":null,"position":18,"is_corresponding":false},{"id":916958,"name":"Alex Ahn","orcid":null,"position":19,"is_corresponding":false},{"id":706507,"name":"Minghong Ma","orcid":"0000-0002-5027-9623","position":20,"is_corresponding":false},{"id":289134,"name":"Long Ding","orcid":"0000-0002-1716-3848","position":21,"is_corresponding":false},{"id":916513,"name":"Javier Arsuaga","orcid":"0000-0002-4979-8215","position":22,"is_corresponding":false},{"id":636195,"name":"Wenqin Luo","orcid":"0000-0002-2486-807X","position":23,"is_corresponding":false},{"id":916509,"name":"Huasheng Yu","orcid":"0000-0001-5641-2512","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":null,"created_at":"2026-07-19T00:26:16.663144Z","pmid":"36476338","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}