title: Image processing for combined bright-field and reflection interference contrast video microscopy.
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.
authors.affiliation: Max-Planck-Institut für Biochemie, Martinsried, Germany. iweber@vms.biochem.mpg.de
authors.forename: I
authors.initials: I
authors.lastname: Weber
authors.forename: R
authors.initials: R
authors.lastname: Albrecht
mesh_terms: D000818:Animals; D002448:Cell Adhesion; D048429:Cell Size; D004023:Dictyostelium / Q000166:cytology; D007091:Image Processing, Computer-Assisted; D008858:Microscopy, Phase-Contrast / Q000379:methods*; D018715:Microscopy, Video / Q000379:methods*