title: Automatic TEM image analysis of membranes for 2D crystal detection.
abstract: TEM image processing tools are devised for the assessment of 2D-crystallization experiments. The algorithms search for the presence and assess the quality of crystalline membranes. The retained scenario emulates the decisions of a microscopist in selecting targets and assessing the sample. Crystallinity is automatically assessed through the diffraction patterns of high magnification images acquired on pertinent regions selected at lower magnifications. Further algorithms have been developed for membrane characterization. Tests on images of different samples, acquired on different microscopes led to good results.
authors.affiliation: MIPS, Université de Haute-Alsace, France.
authors.forename: Argyro
authors.initials: A
authors.lastname: Karathanou
authors.forename: Nicolas
authors.initials: N
authors.lastname: Coudray
authors.forename: Gilles
authors.initials: G
authors.lastname: Hermann
authors.forename: Jean-Luc
authors.initials: JL
authors.lastname: Buessler
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Urban
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D003460:Crystallization; D003461:Crystallography / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008565:Membrane Proteins / Q000737:chemistry / Q000648:ultrastructure; D008566:Membranes / Q000737:chemistry / Q000648:ultrastructure*; D046529:Microscopy, Electron, Transmission
chemical_list: D008565:Membrane Proteins