Image processing for combined bright-field and reflection interference contrast video microscopy

Computer Methods and Programs in Biomedicine
I Weber, R Albrecht

Abstract

Image processing algorithms for automatic extraction of cell body contours and cell-substratum contacts from video images, which were obtained by bright-field microscopy and reflection interference contrast microscopy, respectively, are described. Double-view imaging, which combines these two optical techniques, is used to investigate the relationship between cell-to-substratum adhesion and cell shape changes during locomotion of the amoeboid cells of Dictyostelium discoideum. Contact areas of cells are extracted from reflection interference contrast images via a routine which performs binarisation on the basis of threshold estimation, as it is calculated by a histogram minimum method. Boundaries of cells are extracted from bright-field images by utilising and algorithm that includes background subtraction and binarisation based on texture discrimination by means of a rank operator.

References

Jan 1, 1992·Cell Motility and the Cytoskeleton·J MurrayD R Soll
Jan 1, 1988·Annual Review of Cell Biology·P N Devreotes, S H Zigmond

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Citations

Jun 21, 2014·Journal of Microbiological Methods·Vlatka AntolovićIgor Weber
Oct 31, 2006·Computer Methods and Programs in Biomedicine·Chia-Hsiang Wu, Yung-Nien Sun
Mar 27, 2001·Current Biology : CB·R I TuxworthM A Titus
Nov 21, 2018·Journal of Biomedical Optics·Linbo WangHui Li

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