Book chapter
Deconvolution and Image Quality Control - Valuable Tools in Multi-Dimensional Light Microscopy
Multi-Modality Microscopy, pp 125-149
01 Jan 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
As permitted by the size limitations of this publication we will survey and describe a selection of image restoration algorithms. The main emphasis lies on the iterative group as they are based on rigorous mathematical foundations and provide for restorations with limited data. Common topics, like finding the optimal regularization parameter, the influence of data discretisation and the significance of an accurate point spread function (PSF) are dealt with accordingly.
To control image quality for iterative deconvolution methods, an image quality measure is described. It is based on information theory. The method allows for a more accurate and objective description of the image quality in digital microscopy than previously possible, since it takes into account the signal distribution, the transfer characteristic of the system and an estimate of the noise. Computer simulations of fluorescent beads serve as an example.
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Details
- Title
- Deconvolution and Image Quality Control - Valuable Tools in Multi-Dimensional Light Microscopy
- Creators
- Lutz Schaefer - Carl Zeiss Vis GmbH, Adv Imaging Methodol Consultat, Kitchener, ON N2P 2A2, CanadaAndres Kriete - Univ Clin Giessen, Image Proc Lab, Inst Anat & Cell Biol, D-35385 Giessen, Germany
- Contributors
- H Yu (Editor)P C Cheng (Editor)P C Lin (Editor)F J Kao (Editor)
- Publication Details
- Multi-Modality Microscopy, pp 125-149
- Publisher
- World Scientific; SINGAPORE
- Number of pages
- 25
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000300907500005
- Scopus ID
- 2-s2.0-84968853996
- Other Identifier
- 991019186680504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- International collaboration
- Web of Science research areas
- Imaging Science & Photographic Technology
- Microscopy