{"title":"修正“使用多实例学习的光学时间拉伸成像流式细胞术进行结直肠癌无标记分型”。","authors":"","doi":"10.1002/jbio.70265","DOIUrl":null,"url":null,"abstract":"<p>S. Pi, L. Mei, L. Tao, S. Mei, and Z. Ye, “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning,” <i>Journal of Biophotonics</i> 18, no. 8 (2025): e70026, https://doi.org/10.1002/jbio.70026.</p><p>The first affiliation listed in the paper is corrected due to a recent institutional reform and official renaming.</p><p>Original Affiliation: School of Medicine, Wuhan City College, Wuhan, China.</p><p>Updated Affiliation: Medical Department, City University of Wuhan, Wuhan, China.</p><p>We apologize for this error.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 4","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70265","citationCount":"0","resultStr":"{\"title\":\"Correction to “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning”\",\"authors\":\"\",\"doi\":\"10.1002/jbio.70265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>S. Pi, L. Mei, L. Tao, S. Mei, and Z. Ye, “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning,” <i>Journal of Biophotonics</i> 18, no. 8 (2025): e70026, https://doi.org/10.1002/jbio.70026.</p><p>The first affiliation listed in the paper is corrected due to a recent institutional reform and official renaming.</p><p>Original Affiliation: School of Medicine, Wuhan City College, Wuhan, China.</p><p>Updated Affiliation: Medical Department, City University of Wuhan, Wuhan, China.</p><p>We apologize for this error.</p>\",\"PeriodicalId\":184,\"journal\":{\"name\":\"Journal of Biophotonics\",\"volume\":\"19 4\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2026-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70265\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biophotonics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jbio.70265\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biophotonics","FirstCategoryId":"101","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jbio.70265","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Correction to “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning”
S. Pi, L. Mei, L. Tao, S. Mei, and Z. Ye, “Label-Free Typing of Colorectal Cancer by Optical Time-Stretch Imaging Flow Cytometry With Multi-Instance Learning,” Journal of Biophotonics 18, no. 8 (2025): e70026, https://doi.org/10.1002/jbio.70026.
The first affiliation listed in the paper is corrected due to a recent institutional reform and official renaming.
Original Affiliation: School of Medicine, Wuhan City College, Wuhan, China.
Updated Affiliation: Medical Department, City University of Wuhan, Wuhan, China.
期刊介绍:
The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.