P Teitel, H Malotta, M Leschke, H Schmid-Schönbein
{"title":"Recent progress in improving data processing in filtration measurements.","authors":"P Teitel, H Malotta, M Leschke, H Schmid-Schönbein","doi":"10.3233/bir-1984-23s140","DOIUrl":null,"url":null,"abstract":"<p><p>Nucleopore filter membranes currently utilized to assess RBC \"deformability\" do not meet the strict metrological requirements of a measuring gauge. They present different kinds of inhomogeneities introducing an useless information (a background noise) into measurement results and expressed as poor reproducibility. Variance reduction can only be achieved by eliminating aberrant results from a series of parallel measurements made with different membranes. To this end a procedure is proposed to identify aberrant values by an iterative statistical regression analysis of data from filter calibration and measurements on RBC suspensions and to express results as \"reduced\" initial flow rates for a standard filter resistance.</p>","PeriodicalId":79205,"journal":{"name":"Biorheology. Supplement : the official journal of the International Society of Biorheology","volume":"1 ","pages":"231-40"},"PeriodicalIF":0.0000,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/bir-1984-23s140","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biorheology. Supplement : the official journal of the International Society of Biorheology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/bir-1984-23s140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nucleopore filter membranes currently utilized to assess RBC "deformability" do not meet the strict metrological requirements of a measuring gauge. They present different kinds of inhomogeneities introducing an useless information (a background noise) into measurement results and expressed as poor reproducibility. Variance reduction can only be achieved by eliminating aberrant results from a series of parallel measurements made with different membranes. To this end a procedure is proposed to identify aberrant values by an iterative statistical regression analysis of data from filter calibration and measurements on RBC suspensions and to express results as "reduced" initial flow rates for a standard filter resistance.