By Topic

Light sheet fluorescence microscopy images deblurring with background estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
de Vieilleville, F. ; Univ. de Toulouse, Toulouse, France ; Basarab, A. ; Kouame, D. ; Lobjois, V.

The deblurring of microscopy images has received a lot of attention in past decades, especially with regularisation involving the Total Variation semi-norm. In this paper we propose the evaluation of 3D point spread function space-invariant restauration methods with background estimation for 3D light sheet fluorescence microscopy images. A 3D image model for synthetic static multicellular tumor spheroids is introduced, allowing a more realistic evaluation for the proposed methods, underlining better results with low SNR values. Encouraging results on real data of cancer cells cultured as multicellular tumor spheroids are also presented.

Published in:

Signal Processing Systems (SIPS), 2010 IEEE Workshop on

Date of Conference:

6-8 Oct. 2010