{"title":"延时成像中细微时空模式的系统检测:I.有丝分裂","authors":"Raúl E Valdés-Pérez","doi":"10.1002/1361-6374(199612)4:4<232::AID-BIO2>3.0.CO;2-L","DOIUrl":null,"url":null,"abstract":"<p>A recent article on syncytial nuclear divisions in early embryos of <i>Drosophila melanogaster</i> presented evidence that the complex spatio–temporal data obtained from time-lapse images were <i>patterned</i>, 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.</p>","PeriodicalId":100176,"journal":{"name":"Bioimaging","volume":"4 4","pages":"232-242"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/1361-6374(199612)4:4<232::AID-BIO2>3.0.CO;2-L","citationCount":"5","resultStr":"{\"title\":\"Systematic detection of subtle spatio–temporal patterns in time-lapse imaging: I. Mitosis\",\"authors\":\"Raúl E Valdés-Pérez\",\"doi\":\"10.1002/1361-6374(199612)4:4<232::AID-BIO2>3.0.CO;2-L\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A recent article on syncytial nuclear divisions in early embryos of <i>Drosophila melanogaster</i> presented evidence that the complex spatio–temporal data obtained from time-lapse images were <i>patterned</i>, 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.</p>\",\"PeriodicalId\":100176,\"journal\":{\"name\":\"Bioimaging\",\"volume\":\"4 4\",\"pages\":\"232-242\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/1361-6374(199612)4:4<232::AID-BIO2>3.0.CO;2-L\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioimaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/1361-6374%28199612%294%3A4%3C232%3A%3AAID-BIO2%3E3.0.CO%3B2-L\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioimaging","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/1361-6374%28199612%294%3A4%3C232%3A%3AAID-BIO2%3E3.0.CO%3B2-L","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Systematic detection of subtle spatio–temporal patterns in time-lapse imaging: I. Mitosis
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.