A rapid and effective vignetting correction for quantitative microscopy

Détails

ID Serval
serval:BIB_90596D015F80
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
A rapid and effective vignetting correction for quantitative microscopy
Périodique
RSC Advances
Auteur(s)
Lee S.S., Pelet S., Peter M., Dechant R.
ISSN
2046-2069
Statut éditorial
Publié
Date de publication
2014
Volume
4
Numéro
95
Pages
52727-52733
Langue
anglais
Résumé
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
Création de la notice
04/02/2015 9:41
Dernière modification de la notice
03/03/2018 19:25
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