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A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy

BACKGROUND: Cell volume determination plays a pivotal role in the investigation of the biophysical mechanisms underlying various cellular processes. Whereas light microscopy in principle enables one to obtain three dimensional data, the reconstruction of cell volume from z-stacks is a time consuming...

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Detalles Bibliográficos
Autores principales: Happel, Patrick, Möller, Kerstin, Kunz, Ralf, Dietzel, Irmgard D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912302/
https://www.ncbi.nlm.nih.gov/pubmed/20550692
http://dx.doi.org/10.1186/1471-2105-11-323
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author Happel, Patrick
Möller, Kerstin
Kunz, Ralf
Dietzel, Irmgard D
author_facet Happel, Patrick
Möller, Kerstin
Kunz, Ralf
Dietzel, Irmgard D
author_sort Happel, Patrick
collection PubMed
description BACKGROUND: Cell volume determination plays a pivotal role in the investigation of the biophysical mechanisms underlying various cellular processes. Whereas light microscopy in principle enables one to obtain three dimensional data, the reconstruction of cell volume from z-stacks is a time consuming procedure. Thus, three dimensional topographic representations of cells are easier to obtain by scanning probe microscopical measurements. RESULTS: We present a method of separating the cell soma volume of bipolar cells in adherent cell cultures from the contributions of the cell processes from data obtained by scanning ion conductance microscopy. Soma volume changes between successive scans obtained from the same cell can then be computed even if the cell is changing its position within the observed area. We demonstrate that the estimation of the cell volume on the basis of the width and the length of a cell may lead to erroneous determination of cell volume changes. CONCLUSIONS: We provide a new algorithm to repeatedly determine single cell soma volume and thus to quantify cell volume changes during cell movements occuring over a time range of hours.
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spelling pubmed-29123022010-07-30 A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy Happel, Patrick Möller, Kerstin Kunz, Ralf Dietzel, Irmgard D BMC Bioinformatics Methodology Article BACKGROUND: Cell volume determination plays a pivotal role in the investigation of the biophysical mechanisms underlying various cellular processes. Whereas light microscopy in principle enables one to obtain three dimensional data, the reconstruction of cell volume from z-stacks is a time consuming procedure. Thus, three dimensional topographic representations of cells are easier to obtain by scanning probe microscopical measurements. RESULTS: We present a method of separating the cell soma volume of bipolar cells in adherent cell cultures from the contributions of the cell processes from data obtained by scanning ion conductance microscopy. Soma volume changes between successive scans obtained from the same cell can then be computed even if the cell is changing its position within the observed area. We demonstrate that the estimation of the cell volume on the basis of the width and the length of a cell may lead to erroneous determination of cell volume changes. CONCLUSIONS: We provide a new algorithm to repeatedly determine single cell soma volume and thus to quantify cell volume changes during cell movements occuring over a time range of hours. BioMed Central 2010-06-15 /pmc/articles/PMC2912302/ /pubmed/20550692 http://dx.doi.org/10.1186/1471-2105-11-323 Text en Copyright © 2010 Happel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Happel, Patrick
Möller, Kerstin
Kunz, Ralf
Dietzel, Irmgard D
A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
title A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
title_full A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
title_fullStr A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
title_full_unstemmed A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
title_short A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
title_sort boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912302/
https://www.ncbi.nlm.nih.gov/pubmed/20550692
http://dx.doi.org/10.1186/1471-2105-11-323
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