Publisher Correction: SLEAP: A deep learning system for multi-animal pose tracking (Nature Methods, (2022), 19, 4, (486-495), 10.1038/s41592-022-01426-1)

Talmo D. Pereira, Nathaniel Tabris, Arie Matsliah, David M. Turner, Junyu Li, Shruthi Ravindranath, Eleni S. Papadoyannis, Edna Normand, David S. Deutsch, Z. Yan Wang, Grace C. McKenzie-Smith, Catalin C. Mitelut, Marielisa Diez Castro, John D’Uva, Mikhail Kislin, Dan H. Sanes, Sarah D. Kocher, Samuel S.H. Wang, Annegret L. Falkner, Joshua W. ShaevitzMala Murthy

Research output: Contribution to journalComment/Debate

Abstract

In the version of this article initially published, there were errors in the affiliations shown for John D’Uva. The correct affiliations should read: 1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA; 2Department of Molecular Biology, Princeton University, Princeton, NJ, USA; and 9Present address: Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Further, the source data files for Extended Data Figs. 5 and 6 were initially listed as source data for Extended Data Figs. 4 and 5. The files have been revised online and the errors corrected in the HTML and PDF versions of the article.

Original languageEnglish
Pages (from-to)628
Number of pages1
JournalNature Methods
Volume19
Issue number5
DOIs
StatePublished - May 2022
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by Key Research Foundation of Jiangxi Province (No: 20181BBG70004); Excellent Talents Development Project of Jiangxi Province (20192BCBL23020); Natural Science Foundation of jiangxi Province (20181BAB205034); Grassroots Health Appropriate Technology Spark Promotion Plan Project of Jiangxi Province (No:20188003); Health Development Planning Commission Science Foundation of Jiangxi Province (No: 20201032); Health Development Planning Commission Science TCM Foundation of Jiangxi Province (No: 2018A060).

Publisher Copyright:
© 2022, The Author(s).

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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