Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.

<h4>Background</h4>Determining the correct number of positive immune cells in immunohistological sections of colorectal cancer and other tumor entities is emerging as an important clinical predictor and therapy selector for an individual patient. This task is usually obstructed by cell c...

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Autores principales:	Niels Halama, Inka Zoernig, Anna Spille, Kathi Westphal, Peter Schirmacher, Dirk Jaeger, Niels Grabe
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0164a146c8214ebe8bf3b4c3d8e471d3
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spelling	oai:doaj.org-article:0164a146c8214ebe8bf3b4c3d8e471d32021-11-25T06:28:06ZEstimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.1932-620310.1371/journal.pone.0007847https://doaj.org/article/0164a146c8214ebe8bf3b4c3d8e471d32009-11-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19924291/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Determining the correct number of positive immune cells in immunohistological sections of colorectal cancer and other tumor entities is emerging as an important clinical predictor and therapy selector for an individual patient. This task is usually obstructed by cell conglomerates of various sizes. We here show that at least in colorectal cancer the inclusion of immune cell conglomerates is indispensable for estimating reliable patient cell counts. Integrating virtual microscopy and image processing principally allows the high-throughput evaluation of complete tissue slides.<h4>Methodology/principal findings</h4>For such large-scale systems we demonstrate a robust quantitative image processing algorithm for the reproducible quantification of cell conglomerates on CD3 positive T cells in colorectal cancer. While isolated cells (28 to 80 microm(2)) are counted directly, the number of cells contained in a conglomerate is estimated by dividing the area of the conglomerate in thin tissues sections (< or =6 microm) by the median area covered by an isolated T cell which we determined as 58 microm(2). We applied our algorithm to large numbers of CD3 positive T cell conglomerates and compared the results to cell counts obtained manually by two independent observers. While especially for high cell counts, the manual counting showed a deviation of up to 400 cells/mm(2) (41% variation), algorithm-determined T cell numbers generally lay in between the manually observed cell numbers but with perfect reproducibility.<h4>Conclusion</h4>In summary, we recommend our approach as an objective and robust strategy for quantifying immune cell densities in immunohistological sections which can be directly implemented into automated full slide image processing systems.Niels HalamaInka ZoernigAnna SpilleKathi WestphalPeter SchirmacherDirk JaegerNiels GrabePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 11, p e7847 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Niels Halama Inka Zoernig Anna Spille Kathi Westphal Peter Schirmacher Dirk Jaeger Niels Grabe Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
description	<h4>Background</h4>Determining the correct number of positive immune cells in immunohistological sections of colorectal cancer and other tumor entities is emerging as an important clinical predictor and therapy selector for an individual patient. This task is usually obstructed by cell conglomerates of various sizes. We here show that at least in colorectal cancer the inclusion of immune cell conglomerates is indispensable for estimating reliable patient cell counts. Integrating virtual microscopy and image processing principally allows the high-throughput evaluation of complete tissue slides.<h4>Methodology/principal findings</h4>For such large-scale systems we demonstrate a robust quantitative image processing algorithm for the reproducible quantification of cell conglomerates on CD3 positive T cells in colorectal cancer. While isolated cells (28 to 80 microm(2)) are counted directly, the number of cells contained in a conglomerate is estimated by dividing the area of the conglomerate in thin tissues sections (< or =6 microm) by the median area covered by an isolated T cell which we determined as 58 microm(2). We applied our algorithm to large numbers of CD3 positive T cell conglomerates and compared the results to cell counts obtained manually by two independent observers. While especially for high cell counts, the manual counting showed a deviation of up to 400 cells/mm(2) (41% variation), algorithm-determined T cell numbers generally lay in between the manually observed cell numbers but with perfect reproducibility.<h4>Conclusion</h4>In summary, we recommend our approach as an objective and robust strategy for quantifying immune cell densities in immunohistological sections which can be directly implemented into automated full slide image processing systems.
format	article
author	Niels Halama Inka Zoernig Anna Spille Kathi Westphal Peter Schirmacher Dirk Jaeger Niels Grabe
author_facet	Niels Halama Inka Zoernig Anna Spille Kathi Westphal Peter Schirmacher Dirk Jaeger Niels Grabe
author_sort	Niels Halama
title	Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
title_short	Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
title_full	Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
title_fullStr	Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
title_full_unstemmed	Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
title_sort	estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/0164a146c8214ebe8bf3b4c3d8e471d3
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Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.

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