ArticleBMC bioinformatics2010
A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Scanning Ion Conductance Microscopy.Chemical reviews · 2021Review
- Ion channels and transporters in tumour cell migration and invasion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Review
- Evaluation of silicon nitride as a substrate for culture of PC12 cells: an interfacial model for functional studies in neurons.PloS one · 2014Article
- The role of TMEM16A (ANO1) and TMEM16F (ANO6) in cell migration.Pflugers Archiv : European journal of physiology · 2013Article
- Migrating oligodendrocyte progenitor cells swell prior to soma dislocation.Scientific reports · 2013Article
- Scanning ion conductance microscopy for studying biological samples.Sensors (Basel, Switzerland) · 2012Review
- Scanning ion conductance microscopy: a convergent high-resolution technology for multi-parametric analysis of living cardiovascular cells.Journal of the Royal Society, Interface · 2011Review
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Authors and funding
4 authors.
Funding
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Abstract
backgroundCell 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.
resultsWe 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.
conclusionsWe 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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