✦ LIBER ✦

Objective quality evaluation of fluorescence images to optimize automatic image acquisition

✍ Scribed by Rico Hiemann; Nadja Hilger; Ulrich Sack; Martin Weigert

Publisher: John Wiley and Sons
Year: 2006
Tongue: English
Weight: 122 KB
Volume: 69A
Category: Article
ISSN: 0196-4763
DOI: 10.1002/cyto.a.20224

No coin nor oath required. For personal study only.

✦ Synopsis

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

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