A rapid and effective vignetting correction for quantitative microscopy

Details

Serval ID
serval:BIB_90596D015F80
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A rapid and effective vignetting correction for quantitative microscopy
Journal
RSC Advances
Author(s)
Lee S.S., Pelet S., Peter M., Dechant R.
ISSN
2046-2069
Publication state
Published
Issued date
2014
Volume
4
Number
95
Pages
52727-52733
Language
english
Abstract
Images acquired using optical microscopes are inherently subject to vignetting effects due to imperfect illumination and image acquisition. However, such vignetting effects hamper accurate extraction of quantitative information from biological images, leading to less effective image segmentation and increased noise in the measurements. Here, we describe a rapid and effective method for vignetting correction, which generates an estimate for a correction function from the background fluorescence without the need to acquire additional calibration images. We validate the usefulness of this algorithm using artificially distorted images as a gold standard for assessing the accuracy of the applied correction and then demonstrate that this correction method enables the reliable detection of biologically relevant variation in cell populations. A simple user interface called FlattifY was developed and integrated into the image analysis platform YeastQuant to facilitate easy application of vignetting correction to a wide range of images.
Web of science
Create date
04/02/2015 8:41
Last modification date
20/08/2019 14:53
Usage data