title: Automated acquisition and processing of multidimensional image data in confocal in vivo microscopy.
abstract: The successful development of visualization techniques for live cell imaging leads to the development of suitable software for the acquisition and processing of multidimensional image data. This report compares several possible approaches to image acquisition and processing in confocal in vivo microscopy and suggests new alternatives to the published methods. Special attention is paid to spinning disk systems based either on a classical Nipkow disk or on the microlens principle. This study shows how to optimize image acquisition process in live cell studies using camera binning feature and how to perform object tracking using a new fast image registration method based on the graph theory.
authors.affiliation: Faculty of Informatics, Masaryk University, CZ-60200, Brno, Czech Republic. kozubek@fi.muni.cz
authors.forename: Michal
authors.initials: M
authors.lastname: Kozubek
authors.forename: Petr
authors.initials: P
authors.lastname: Matula
authors.forename: Pavel
authors.initials: P
authors.lastname: Matula
authors.forename: Stanislav
authors.initials: S
authors.lastname: Kozubek
mesh_terms: D000465:Algorithms; D002468:Cell Physiological Phenomena; D049452:Green Fluorescent Proteins; D019044:Image Cytometry / Q000295:instrumentation* / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008164:Luminescent Proteins / Q000378:metabolism; D018613:Microscopy, Confocal / Q000295:instrumentation*; D012984:Software
chemical_list: D008164:Luminescent Proteins; D049452:Green Fluorescent Proteins