Evidence map›Paper›PMID 36476338›Full record

ArticleeLife2022

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

Huasheng Yu, Jingwei Xiong, Adam Yongxin Ye, Suna Li Cranfill, Tariq Cannonier, Mayank Gautam, Marina Zhang, Rayan Bilal, Jong-Eun Park, Yuji Xue and 14 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 4 institutions in 1 country.

Huasheng Yu *Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0001-5641-2512
Jingwei Xiong *Graduate Group in Biostatistics, University of California Davis, Davis, United States.
Adam Yongxin YeHoward Hughes Medical Institute, Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, United States.
Suna Li CranfillDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-3431-0061
Tariq CannonierDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Mayank GautamDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-7257-5837
Marina ZhangDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, United States.
Rayan BilalDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Jong-Eun ParkDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Yuji XueDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Vidhur PolamDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Zora VujovicDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Daniel DaiDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
William OngDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Jasper IpDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0001-9773-1544
Amanda HsiehDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Nour MimouniDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Alejandra LozadaDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Medhini SosaleDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Alex AhnDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Minghong MaDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Long DingDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-1716-3848
Javier ArsuagaDepartment of Molecular and Cellular Biology, University of California Davis, Davis, United States.
Wenqin LuoDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-2486-807X
University of Pennsylvania · USUniversity of California, Davis · USBoston Children's Hospital · USMassachusetts Institute of Technology · US

Funding

Molecular mechanisms in controlling development of touch-sensing neuronsR01NS083702 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LUO, WENQIN · 2013 to 2022
$4.1M
Developing A Mouse Chronic Pain Scale by 3D Imaging and Measurement of Mouse Spontaneous BehaviorsR34NS118411 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DING, LONG, LUO, WENQIN · 2020 to 2020
$717k
NIH HHS R01 NS083702NIH HHS R34 NS118411
6 · The paper itself

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 (

Indexed as

Deep LearningAnimalsBehavior, AnimalChloroquineDisease Models, AnimalInjectionsMicePruritusChloroquineautomatic quantificationdeep learningitchmousemouse behaviorneurosciencescratching

Identifiers

PMID36476338
PMCPMC9762698
OpenAlexW4312058949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.