Objective quality evaluation of fluorescence images to optimize automatic image acquisition

Abstract

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.