Objective quality evaluation of fluorescence images to optimize automatic image acquisition

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 it separation of object and background. Results: Calculated parameters can be used for,in automated adjustment of camera parameters in image analysis systems. Discussion: Our approach for objective adjusted data generation achieves,in improvement of analysis quality. (c) 2006 International society for Analytical Cytology.