title: Wavelet compression of three-dimensional time-lapse biological image data.
abstract: The use of multifocal-plane, time-lapse recordings of living specimens has allowed investigators to visualize dynamic events both within ensembles of cells and individual cells. Recordings of such four-dimensional (4D) data from digital optical sectioning microscopy produce very large data sets. We describe a wavelet-based data compression algorithm that capitalizes on the inherent redunancies within multidimensional data to achieve higher compression levels than can be obtained from single images. The algorithm will permit remote users to roam through large 4D data sets using communication channels of modest bandwidth at high speed. This will allow animation to be used as a powerful aid to visualizing dynamic changes in three-dimensional structures.
authors.affiliation: Department of Mathematics and Computer Science, University of Wisconsin, Madison, WI 53706, USA.
authors.forename: H Narfi
authors.initials: HN
authors.lastname: Stefansson
authors.forename: Kevin W
authors.initials: KW
authors.lastname: Eliceiri
authors.forename: Charles F
authors.initials: CF
authors.lastname: Thomas
authors.forename: Amos
authors.initials: A
authors.lastname: Ron
authors.forename: Ron
authors.initials: R
authors.lastname: DeVore
authors.forename: Robert
authors.initials: R
authors.lastname: Sharpley
authors.forename: John G
authors.initials: JG
authors.lastname: White
mesh_terms: D000465:Algorithms; D000818:Animals; D017173:Caenorhabditis elegans / Q000166:cytology / Q000196:embryology; D002477:Cells / Q000166:cytology*; D004625:Embryo, Nonmammalian / Q000166:cytology; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D013314:Stress, Mechanical