{"title":"Systematic detection of subtle spatio–temporal patterns in time‐lapse imaging: I. Mitosis","authors":"R. Valdés-Pérez","doi":"10.1002/1361-6374(199612)4:4<232::AID-BIO2>3.0.CO;2-L","DOIUrl":null,"url":null,"abstract":"A recent article on syncytial nuclear divisions in early embryos of Drosophila melanogaster presented evidence that the complex spatio–temporal data obtained from time-lapse images were patterned, contrary to previous suggestions based on preliminary observations. However, the reasoning that led to the hypothesis of patterning was informal and unsystematic. Here, we propose a systematic and computerized method for detecting subtle spatio–temporal mitotic patterns, under a general formulation of mitosis as three-dimensional asynchronous processes, of which the earlier data are a special case. The approach involves a rather elaborate application of the concept of permutation test from nonparametric statistics. Far from being limited to mitotic processes, the approach holds general promise for other classes of mass, time-lapse imaging phenomena in cell and developmental biology, such as migration and cell death.","PeriodicalId":100176,"journal":{"name":"Bioimaging","volume":"2010 1","pages":"232-242"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/1361-6374(199612)4:4<232::AID-BIO2>3.0.CO;2-L","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A recent article on syncytial nuclear divisions in early embryos of Drosophila melanogaster presented evidence that the complex spatio–temporal data obtained from time-lapse images were patterned, contrary to previous suggestions based on preliminary observations. However, the reasoning that led to the hypothesis of patterning was informal and unsystematic. Here, we propose a systematic and computerized method for detecting subtle spatio–temporal mitotic patterns, under a general formulation of mitosis as three-dimensional asynchronous processes, of which the earlier data are a special case. The approach involves a rather elaborate application of the concept of permutation test from nonparametric statistics. Far from being limited to mitotic processes, the approach holds general promise for other classes of mass, time-lapse imaging phenomena in cell and developmental biology, such as migration and cell death.