A1 Refereed original research article in a scientific journal
Nonlinear filtering in improving the image quality of confocal fluorescent images
Authors: Hänninen P., Stelzer E., Salo J.
Publisher: Springer-Verlag
Publication year: 1991
Journal:: Machine Vision and Applications
Journal name in source: Machine Vision and Applications
Volume: 4
Issue: 4
First page : 243
Last page: 253
ISSN: 0932-8092
DOI: https://doi.org/10.1007/BF01815301
Web address : http://api.elsevier.com/content/abstract/scopus_id:0026227162
Abstract
A different way of processing confocally scanned fluorescence images is presented. Linear median hybrid methods and linear filtering methods are compared numerically with a conventionally processed artificial data set and with real confocal data. The use of linear median hybrid techniques reduces the time required for recording three-dimensional data sets with a confocal fluorescence microscope as well as the photo-damage to the biological sample. The implementation of a linear median algorithm on the hardware level of a confocal microscope is discussed. © 1991 Springer-Verlag New York Inc.
A different way of processing confocally scanned fluorescence images is presented. Linear median hybrid methods and linear filtering methods are compared numerically with a conventionally processed artificial data set and with real confocal data. The use of linear median hybrid techniques reduces the time required for recording three-dimensional data sets with a confocal fluorescence microscope as well as the photo-damage to the biological sample. The implementation of a linear median algorithm on the hardware level of a confocal microscope is discussed. © 1991 Springer-Verlag New York Inc.
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