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Paper Abstract and Keywords
Presentation 2014-03-18 14:20
3D Superresolution of Microscopic Images based on Variational Bayesian Inference via Chebyshev polynomials approximation
Yasuhiro Imoto, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-111
Abstract (in Japanese) (See Japanese page) 
(in English) Optical microscopes are used to elucidate changes in cellular functions mediated by morphological changes of cells in vivo. Although only 2D images can be obtained by single scans, depth information of the measurement target can be acquired by scanning and integrating multiple images with different focal depth. However, we cannot obtain high spatial resolution 3D images in some cases, because of the necessity of observing wide region, fluorescence loss due to photobleaching, and so on. In this study, we propose a statistical image processing method to estimate super-resolved depth and intensity maps based on Bayesian inference; as a prior knowledge, we use a model of the point spread function (PSF) and label-based information of the target. To achieve an efficient computation of the Bayesian inference, we use Chebyshev approximation of the PSF and numerical integration. In simulations using artificial images of a neuronal cell, our method can estimate both of the super-resolved image and the object's depth from multiple 2D observed images.
Keyword (in Japanese) (See Japanese page) 
(in English) microscopic image processing / depth estimation / super-resolution / Bayesian inference / variational method / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 500, NC2013-111, pp. 133-138, March 2014.
Paper # NC2013-111 
Date of Issue 2014-03-10 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2013-111

Conference Information
Committee NC MBE  
Conference Date 2014-03-17 - 2014-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 3D Superresolution of Microscopic Images based on Variational Bayesian Inference via Chebyshev polynomials approximation 
Sub Title (in English)  
Keyword(1) microscopic image processing  
Keyword(2) depth estimation  
Keyword(3) super-resolution  
Keyword(4) Bayesian inference  
Keyword(5) variational method  
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Keyword(8)  
1st Author's Name Yasuhiro Imoto  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Shin-ichi Maeda  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Shin Ishii  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2014-03-18 14:20:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2013-111 
Volume (vol) vol.113 
Number (no) no.500 
Page pp.133-138 
#Pages 6 
Date of Issue 2014-03-10 (NC) 

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