Detection of non-invasive sexing of early chick embryos in intact eggs using laser speckle contrast imaging and deep neural networks.
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| Title: | Detection of non-invasive sexing of early chick embryos in intact eggs using laser speckle contrast imaging and deep neural networks. |
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| Authors: | Mahler S; Department of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America.; Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey, United States of America., Arora A; California Institute of Technology, Pasadena, California, United States of America., Readhead C; Department of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America., Yin S; Department of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America., Hari SN; California Institute of Technology, Pasadena, California, United States of America., Wang E; California Institute of Technology, Pasadena, California, United States of America., Moxley CI; California Institute of Technology, Pasadena, California, United States of America., Adeboye AA; California Institute of Technology, Pasadena, California, United States of America., Dong Z; Department of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America., Zhou H; Department of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America., Chen X; Department of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America., Bronner M; California Institute of Technology, Pasadena, California, United States of America.; Department of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America., Yang C; Department of Electrical Engineering, California Institute of Technology, Pasadena, California, United States of America.; California Institute of Technology, Pasadena, California, United States of America.; Department of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America.; Department of Medical Engineering, California Institute of Technology, Pasadena, California, United States of America. |
| Source: | PloS one [PLoS One] 2026 Jun 26; Vol. 21 (6), pp. e0323847. Date of Electronic Publication: 2026 Jun 26 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0323847 |
