{"title":"Microcomputer experience in analysis of flow cytometric DNA distributions","authors":"Paolo Ubezio","doi":"10.1016/0010-468X(85)90007-8","DOIUrl":null,"url":null,"abstract":"<div><p>The program described analyses DNA histograms obtained in flow cytometry using the Gaussians method. The program is written in BASIC to run on a low-cost microcomputer. It utilizes a simple strategy to obtain good estimates of the parameters required for reducing the problem to a task solvable with linear least-squares methods.</p><p>Features of the program are flexibility, since it is possible to choose different options for parametrization and spacing of Gaussians, and the fact that the operator is not required to provide interactive inspection or inputting parameter values.</p><p>The capability and velocity of the program, in all its options, are tested and compared on a series of different (not computer-simulated) histograms obtained in our flow cytometry laboratory. Our results suggest that a fresh approach to parametrization may be useful.</p></div>","PeriodicalId":75731,"journal":{"name":"Computer programs in biomedicine","volume":"19 2","pages":"Pages 159-166"},"PeriodicalIF":0.0000,"publicationDate":"1985-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0010-468X(85)90007-8","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer programs in biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0010468X85900078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
The program described analyses DNA histograms obtained in flow cytometry using the Gaussians method. The program is written in BASIC to run on a low-cost microcomputer. It utilizes a simple strategy to obtain good estimates of the parameters required for reducing the problem to a task solvable with linear least-squares methods.
Features of the program are flexibility, since it is possible to choose different options for parametrization and spacing of Gaussians, and the fact that the operator is not required to provide interactive inspection or inputting parameter values.
The capability and velocity of the program, in all its options, are tested and compared on a series of different (not computer-simulated) histograms obtained in our flow cytometry laboratory. Our results suggest that a fresh approach to parametrization may be useful.
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