Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation

Background: Confocal Laser Scanning Microscopy (CLSM) provides the opportunity to perform 3D DNA content measurements on intact cells in thick histological sections. So far, sample size has been limited by the time consuming nature of the technology. Since the power of DNA histograms to resolve diff...

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Main Authors: Lennert S. Ploeger, Jeroen A.M. Beliën, Neal M. Poulin, William Grizzle, Paul J. van Diest
Format: Article
Language:English
Published: Hindawi Limited 2004-01-01
Series:Cellular Oncology
Online Access:http://dx.doi.org/10.1155/2004/350752
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spelling doaj-ee7b981446e64ef68375b8c1b8fc556d2020-11-25T01:49:46ZengHindawi LimitedCellular Oncology1570-58701875-86062004-01-01263939910.1155/2004/350752Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer SimulationLennert S. Ploeger0Jeroen A.M. Beliën1Neal M. Poulin2William Grizzle3Paul J. van Diest4Department of Pathology, University Medical Center Utrecht, Utrecht, The NetherlandsDepartment of Pathology, VU University Medical Center, Amsterdam, The NetherlandsDepartment of Pathology, University Medical Center Utrecht, Utrecht, The NetherlandsDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USADepartment of Pathology, University Medical Center Utrecht, Utrecht, The NetherlandsBackground: Confocal Laser Scanning Microscopy (CLSM) provides the opportunity to perform 3D DNA content measurements on intact cells in thick histological sections. So far, sample size has been limited by the time consuming nature of the technology. Since the power of DNA histograms to resolve different stemlines depends on both the sample size and the coefficient of variation (CV) of histogram peaks, interpretation of 3D CLSM DNA histograms might be hampered by both a small sample size and a large CV. The aim of this study was to analyze the required CV for 3D CLSM DNA histograms given a realistic sample size. Methods: By computer simulation, virtual histograms were composed for sample sizes of 20000, 10000, 5000, 1000, and 273 cells and CVs of 30, 25, 20, 15, 10 and 5%. By visual inspection, the histogram quality with respect to resolution of G0/1 and G2/M peaks of a diploid stemline was assessed. Results: As expected, the interpretability of DNA histograms deteriorated with decreasing sample sizes and higher CVs. For CVs of 15% and lower, a clearly bimodal peak pattern with well distinguishable G0/1 and G2/M peaks were still seen at a sample size of 273 cells, which is our current average sample size with 3D CLSM DNA cytometry. Conclusions: For unambiguous interpretation of DNA histograms obtained using 3D CLSM, a CV of at most 15% is tolerable at currently achievable sample sizes. To resolve smaller near diploid stemlines, a CV of 10% or better should be aimed at. With currently available 3D imaging technology, this CV is achievable.http://dx.doi.org/10.1155/2004/350752
collection DOAJ
language English
format Article
sources DOAJ
author Lennert S. Ploeger
Jeroen A.M. Beliën
Neal M. Poulin
William Grizzle
Paul J. van Diest
spellingShingle Lennert S. Ploeger
Jeroen A.M. Beliën
Neal M. Poulin
William Grizzle
Paul J. van Diest
Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation
Cellular Oncology
author_facet Lennert S. Ploeger
Jeroen A.M. Beliën
Neal M. Poulin
William Grizzle
Paul J. van Diest
author_sort Lennert S. Ploeger
title Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation
title_short Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation
title_full Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation
title_fullStr Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation
title_full_unstemmed Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation
title_sort confocal 3d dna cytometry: assessment of required coefficient of variation by computer simulation
publisher Hindawi Limited
series Cellular Oncology
issn 1570-5870
1875-8606
publishDate 2004-01-01
description Background: Confocal Laser Scanning Microscopy (CLSM) provides the opportunity to perform 3D DNA content measurements on intact cells in thick histological sections. So far, sample size has been limited by the time consuming nature of the technology. Since the power of DNA histograms to resolve different stemlines depends on both the sample size and the coefficient of variation (CV) of histogram peaks, interpretation of 3D CLSM DNA histograms might be hampered by both a small sample size and a large CV. The aim of this study was to analyze the required CV for 3D CLSM DNA histograms given a realistic sample size. Methods: By computer simulation, virtual histograms were composed for sample sizes of 20000, 10000, 5000, 1000, and 273 cells and CVs of 30, 25, 20, 15, 10 and 5%. By visual inspection, the histogram quality with respect to resolution of G0/1 and G2/M peaks of a diploid stemline was assessed. Results: As expected, the interpretability of DNA histograms deteriorated with decreasing sample sizes and higher CVs. For CVs of 15% and lower, a clearly bimodal peak pattern with well distinguishable G0/1 and G2/M peaks were still seen at a sample size of 273 cells, which is our current average sample size with 3D CLSM DNA cytometry. Conclusions: For unambiguous interpretation of DNA histograms obtained using 3D CLSM, a CV of at most 15% is tolerable at currently achievable sample sizes. To resolve smaller near diploid stemlines, a CV of 10% or better should be aimed at. With currently available 3D imaging technology, this CV is achievable.
url http://dx.doi.org/10.1155/2004/350752
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