Correction to “A new computational approach, based on images trajectories, to identify the subjacent heterogeneity of sperm to the effects of ketanserin”
{"title":"Correction to “A new computational approach, based on images trajectories, to identify the subjacent heterogeneity of sperm to the effects of ketanserin”","authors":"","doi":"10.1002/cyto.a.24817","DOIUrl":null,"url":null,"abstract":"<p>Rodríguez-Martínez EA, Rivas CU, Ayala ME, Blanco-Rodríguez R, Juarez N, Hernandez-Vargas EA, et al. A new computational approach, based on images trajectories, to identify the subjacent heterogeneity of sperm to the effects of ketanserin. Cytometry. 2023; 103(8): 655–663. https://doi.org/10.1002/cyto.a.24732</p><p>We apologize for this error.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"105 2","pages":"157"},"PeriodicalIF":2.5000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.24817","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cytometry Part A","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24817","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Rodríguez-Martínez EA, Rivas CU, Ayala ME, Blanco-Rodríguez R, Juarez N, Hernandez-Vargas EA, et al. A new computational approach, based on images trajectories, to identify the subjacent heterogeneity of sperm to the effects of ketanserin. Cytometry. 2023; 103(8): 655–663. https://doi.org/10.1002/cyto.a.24732
期刊介绍:
Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques.
The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome:
Biomedical Instrumentation Engineering
Biophotonics
Bioinformatics
Cell Biology
Computational Biology
Data Science
Immunology
Parasitology
Microbiology
Neuroscience
Cancer
Stem Cells
Tissue Regeneration.