## Abstract A common observation about confocal microscopy images is that lower image stacks have lower voxel intensities and are usually blurred in comparison with the upper ones. The key reasons are light absorption and scattering by the objects and particles in the volume through which light pas
Visualization and interactive exploration of multidimensional confocal images
β Scribed by Jagath K. Samarabandu; Raj Acharya; Ping-Chin Cheng
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 620 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0895-6111
No coin nor oath required. For personal study only.
β¦ Synopsis
A confocal image analysis system is developed for automatic extraction of surface representation of biological structures. A visualization system is also developed to manipulate these surface representations and to obtain morphometrical parameters and provides a powerful tool for biomedical research such as microstructural characterization, morphogenesis, cell differentiation, tissue organization, and embryo development.
π SIMILAR VOLUMES
In this paper we devise a penalty likelihood with noise constraints method to restore 2D and 3D confocal microscope images. Regularization is a commonly used technique in image restoration to balance restored image quality and noise suppression, but despite this noise is usually amplified. Taking in
## 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