Title
Automated multi-view 3D image acquisition in human genome research
Abstract
One of the main problems of 3D imaging in optical microscopy is nonisotropic optical resolution of acquired 3D data. For instance, in confocal laser scanning microscopy, axial resolution is 2-3 times worse than lateral resolution. A sophisticated solution to this problem is so-called micro-axial tomography that provides a good means for microscopic image acquisition of cells or subcellular components like cell nuclei with an improved resolution achieved by object tilting and acquisition of a series of mutually tilted 3D image data. Since the very early developments of micro-axial tomography a considerable drawback of this method has been the complicated image acquisition and processing procedure that requires much operator time. In order to solve this problem, advanced microscopy and automated computer image acquisition and analysis were brought together. Special software that drives all hardware components required for automated micro-axial tomography was developed. It performs multi-view 3D image acquisition as well as related image processing.
Year
DOI
Venue
2002
10.1109/TDPVT.2002.1024048
3DPVT
Keywords
Field
DocType
biological techniques,biology computing,cellular biophysics,computerised tomography,genetics,optical microscopy,stereo image processing,automated computer image acquisition,automated computer image analysis,automated multi-view 3D image acquisition,axial resolution,cell nuclei,cells,confocal laser scanning microscopy,human genome research,image processing,micro-axial tomography,microscopic image acquisition,mutually tilted 3D image data acquisition,object tilting,optical microscopy,software,subcellular components
Computer vision,Computer science,Lateral resolution,Image processing,Tomography,Software,Operator (computer programming),Artificial intelligence,Microscopy,Confocal laser scanning microscopy,3d image
Conference
ISBN
Citations 
PageRank 
0-7695-1521-4
4
1.01
References 
Authors
0
4
Name
Order
Citations
PageRank
Michal Kozubek111417.80
Petr Matula29414.04
Heinz Eipel341.01
Michael Hausmann441.34