Paper
21 April 1986 An Automated Biological Dosimetry System
T. Lorch, J. Bille, M. Frieben, G. Stephan
Author Affiliations +
Proceedings Volume 0596, Architectures and Algorithms for Digital Image Processing III; (1986) https://doi.org/10.1117/12.952307
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France
Abstract
The scoring of structural chromosome aberrations in peripheral human blood lymphocytes can be used in biological dosimetry to estimate the radiation dose which an individual has received. Especially the dicentric chromosome is a rather specific indicator for an exposure to ionizing radiation. For statistical reasons, in the low dose range a great number of cells must be analysed, which is a very tedious task. The resulting high cost of a biological dose estimation limits the application of this method to cases of suspected irradiation for which physical dosimetry is not possible or not sufficient. Therefore an automated system has been designed to do the major part of the routine work. It uses a standard light microscope with motorized scanning stage, a Plumbicon TV-camera, a real-time hardware preprocessor, a binary and a grey level image buffer system. All computations are performed by a very powerful multi-microprocessor-system (POLYP) based on a MIMD-architecture. The task of the automated system can be split in finding the metaphases (see Figure 1) at low microscope magnification and scoring dicentrics at high magnification. The metaphase finding part has been completed and is now in routine use giving good results. The dicentric scoring part is still under development.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. Lorch, J. Bille, M. Frieben, and G. Stephan "An Automated Biological Dosimetry System", Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); https://doi.org/10.1117/12.952307
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Cited by 3 scholarly publications.
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KEYWORDS
Binary data

Video

Microscopes

Digital image processing

Biological research

Image processing

Computing systems

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