TY - JOUR

T1 - Complete mathematical modeling method for the analysis of immunofluorescence distributions composed of negative and weakly positive cells

AU - Lampariello, Francesco

AU - Aiello, Antonella

PY - 1998/7/1

Y1 - 1998/7/1

N2 - In a recent paper (Lampariello: Cytometry 15:294-301, 1994), we proposed a method for the automated evaluation of the percentage of positive cells from flow cytometric immunofluorescence histograms. The method is based on a suitable mathematical representation of the control histogram, which is used to identify the negative cell distribution in the test histogram. In this paper we present an improvement of the previous method, where we assume that the positive cell distribution in the test can also be modeled making use of an empirical distribution of the same kind as employed for modeling the control. The parameters of this distribution are estimated directly from the test. In this way, a mathematical representation of the whole test distribution is calculated without having to set up a purely positive control. In order to evaluate the accuracy of the method in the determination of the positive percentage, we carried out a set of measurements of double- labeled and suitably treated cells, mixed in different ratios with control cells, and from each sample we obtained histograms with overlapped and well- separated positive and negative distributions. These last histograms allow us to determine the actual positive percentages and thus to evaluate the performance of the analysis method applied to the histograms with overlapped distributions.

AB - In a recent paper (Lampariello: Cytometry 15:294-301, 1994), we proposed a method for the automated evaluation of the percentage of positive cells from flow cytometric immunofluorescence histograms. The method is based on a suitable mathematical representation of the control histogram, which is used to identify the negative cell distribution in the test histogram. In this paper we present an improvement of the previous method, where we assume that the positive cell distribution in the test can also be modeled making use of an empirical distribution of the same kind as employed for modeling the control. The parameters of this distribution are estimated directly from the test. In this way, a mathematical representation of the whole test distribution is calculated without having to set up a purely positive control. In order to evaluate the accuracy of the method in the determination of the positive percentage, we carried out a set of measurements of double- labeled and suitably treated cells, mixed in different ratios with control cells, and from each sample we obtained histograms with overlapped and well- separated positive and negative distributions. These last histograms allow us to determine the actual positive percentages and thus to evaluate the performance of the analysis method applied to the histograms with overlapped distributions.

KW - Flow cytometry

KW - Histogram analysis

KW - Percentage of positive cells

KW - Quantitative immunofluorescence

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U2 - 10.1002/(SICI)1097-0320(19980701)32:3<241::AID-CYTO11>3.0.CO;2-N

DO - 10.1002/(SICI)1097-0320(19980701)32:3<241::AID-CYTO11>3.0.CO;2-N

M3 - Article

C2 - 9667514

AN - SCOPUS:0032127311

VL - 32

SP - 241

EP - 254

JO - Cytometry Part B - Clinical Cytometry

JF - Cytometry Part B - Clinical Cytometry

SN - 1552-4949

IS - 3

ER -