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Objective quality evaluation of fluorescence images to optimize automatic image acquisition
Author(s) -
Hiemann Rico,
Hilger Nadja,
Sack Ulrich,
Weigert Martin
Publication year - 2006
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.20224
Subject(s) - artificial intelligence , computer science , computer vision , image quality , image (mathematics) , background image , pattern recognition (psychology) , image processing
Background Because different spectral sensitivities of human eye and image sensor lead to different perception of fluorescence signals, data generation is an important step in image analysis, because following work steps depend on it. Methods We developed a method to determine image parameters allowing an objective appraisal of quality of image data as well as a separation of object and background. Results Calculated parameters can be used for an automated adjustment of camera parameters in image analysis systems. Discussion Our approach for objective adjusted data generation achieves an improvement of analysis quality. © 2006 International Society for Analytical Cytology