Conference proceeding
Data compression in microscopy: a comparative study
Proceedings of SPIE, v 3605(1), pp 158-168
06 May 1999
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Image compression in microscopy is a valuable technique, in particular if applied to multidimensional data. Information- preserving and competitive information-losing compression is applied to microscopical data and the resulting image quality is evaluated on a quantitative basis both in the spatial and frequency domain. Included are image data featuring different signal-to-noise ratios, but also voxel data for volume representations as well as graphical data for surface representations. The effect of compression on 3-D visualization and image management with data bases is included.
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Details
- Title
- Data compression in microscopy: a comparative study
- Creators
- Andres Kriete - Univ. Giessen (United States)Norbert Klein - Univ. Giessen (Germany)Lars C Berger - Univ. Giessen (Germany)
- Publication Details
- Proceedings of SPIE, v 3605(1), pp 158-168
- Conference
- Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing VI, 6th
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000080657900019
- Other Identifier
- 991019186542204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Microscopy
- Optics