Literature DB >> 18358462

An image-processing technique for measuring the dynamic movement of cell membranes.

J J Evans1.   

Abstract

An automated method has been developed to measure and compare the dynamic movement of cell membranes. Using the red blood cell as a common example the method locates the edge of the cell, with sub-pixel precision at multiple points on the periphery. This method is a different implementation to a technique used for giant unilamellar vesicles and addresses issues relating specifically to biological cells, in particular relating to finding a local minima, calculating equi-spaced measuring points for arbitrary shapes and using the perpendicular direction to the edge for position measurement. Parameters have been defined to characterise the cell's membrane behaviour and the analysis program allows the automatic compilation of multiple tests under varying conditions, and statistical comparison of identical populations of cells.

Mesh:

Year:  2008        PMID: 18358462     DOI: 10.1016/j.compbiomed.2008.01.013

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  A gradient-based, GPU-accelerated, high-precision contour-segmentation algorithm with application to cell membrane fluctuation spectroscopy.

Authors:  Michael Mell; Francisco Monroy
Journal:  PLoS One       Date:  2018-12-06       Impact factor: 3.240

  1 in total

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