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 a separation of object and background.


RESULTS
Calculated parameters can be used for an automated adjustment of camera parameters in image analysis systems.


CONCLUSIONS
Our approach for objective adjusted data generation achieves an improvement of analysis quality.
Fachhochschule Lausitz, University of Applied Sciences, University of Leipzig, Germany. rhiemann@fh-lausitz.de
Rico
R
Hiemann
Nadja
N
Hilger
Ulrich
U
Sack
Martin
M
Weigert
D045744:Cell Line, Tumor; D003625:Data Collection / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007211:Indoles / Q000737:chemistry; D008856:Microscopy, Fluorescence / Q000379:methods*; D015203:Reproducibility of Results; D014796:Visual Perception
D007211:Indoles; C007293:DAPI