Premium
Automated acquisition and processing of multidimensional image data in confocal in vivo microscopy
Author(s) -
Kozubek Michal,
Matula Petr,
Matula Pavel,
Kozubek Stanislav
Publication year - 2004
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.20068
Subject(s) - confocal microscopy , confocal , image processing , microscopy , in vivo , artificial intelligence , computer science , computer vision , biology , image (mathematics) , optics , microbiology and biotechnology , physics
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. Microsc. Res. Tech. 64:164–175, 2004. © 2004 Wiley‐Liss, Inc.