Document Detail

A CANDLE for a deeper in vivo insight.
MedLine Citation:
PMID:  22341767     Owner:  NLM     Status:  MEDLINE    
A new Collaborative Approach for eNhanced Denoising under Low-light Excitation (CANDLE) is introduced for the processing of 3D laser scanning multiphoton microscopy images. CANDLE is designed to be robust for low signal-to-noise ratio (SNR) conditions typically encountered when imaging deep in scattering biological specimens. Based on an optimized non-local means filter involving the comparison of filtered patches, CANDLE locally adapts the amount of smoothing in order to deal with the noise inhomogeneity inherent to laser scanning fluorescence microscopy images. An extensive validation on synthetic data, images acquired on microspheres and in vivo images is presented. These experiments show that the CANDLE filter obtained competitive results compared to a state-of-the-art method and a locally adaptive optimized non-local means filter, especially under low SNR conditions (PSNR<8dB). Finally, the deeper imaging capabilities enabled by the proposed filter are demonstrated on deep tissue in vivo images of neurons and fine axonal processes in the Xenopus tadpole brain.
Pierrick Coupé; Martin Munz; Jose V Manjón; Edward S Ruthazer; D Louis Collins
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-01-18
Journal Detail:
Title:  Medical image analysis     Volume:  16     ISSN:  1361-8423     ISO Abbreviation:  Med Image Anal     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-04-09     Completed Date:  2012-08-07     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  9713490     Medline TA:  Med Image Anal     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  849-64     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier B.V. All rights reserved.
LaBRI, CNRS UMR 5800, 351 cours de la Libération, F-33405 Talence, France.
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MeSH Terms
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Lighting / methods*
Microscopy, Confocal / methods*
Microscopy, Fluorescence, Multiphoton / methods*
Reproducibility of Results
Sensitivity and Specificity
Grant Support
MOP-77567//Canadian Institutes of Health Research; MOP-84360//Canadian Institutes of Health Research

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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