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Paper Abstract and Keywords
Presentation 2017-03-14 13:10
Analysis of temporal change of astrocyte morphology under hypoxial adaptation using higher-order image features
Tomohiro Nishino, Sosuke Tanaka, Masahiro Nitta, Takuma Sugashi, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2016-91
Abstract (in Japanese) (See Japanese page) 
(in English) Astrocytes play an important role in controlling oxygen and nutrition from the blood to neurons. Although the shape of astrocytes is known to change under pathological conditions such as hypoxia, it is unclear how it dynamically changes after the onset of the pathological conditions. Our previous studies proposed an approach using deep convolutional neural network (DCNN) to describe morphological changes of astrocytes and demonstrated that DCNN-extracted image features are effective to discriminate astrocytes for pre- and post-hypoxia adaptation. In this study, we further extend this approach to analysis of dynamical changes of astrocyte shapes over the time course of hypoxia adaptation. We measured the same astrocyte images from one mouse using the two-photon microscope at multiple days after hypoxia induction, and performed classification analysis to predict whether given astrocyte images are measured during pre- or post-hypoxia adaptation using DCNN-extracted image features. Results showed that prediction accuracy gradually increased while the number of image features necessary for pre-/post-adaptation prediction decreased as hypoxia adaptation progressed. Further analyses revealed that the predictive image features only partially agreed between different stages of hypoxia adaptation. These results suggest that DCNN-extracted image features are effective to capture dynamical and continuous changes of astrocyte morphology during hypoxia adaptation.
Keyword (in Japanese) (See Japanese page) 
(in English) Astrocyte / Deep convolutional neural network / Hypoxial adaptation / Higher-order image feature / Cellular morphology / Two-photon microscopy / Support vector machine / Machine learning  
Reference Info. IEICE Tech. Rep., vol. 116, no. 521, NC2016-91, pp. 159-164, March 2017.
Paper # NC2016-91 
Date of Issue 2017-03-06 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MBE NC  
Conference Date 2017-03-13 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2017-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of temporal change of astrocyte morphology under hypoxial adaptation using higher-order image features 
Sub Title (in English)  
Keyword(1) Astrocyte  
Keyword(2) Deep convolutional neural network  
Keyword(3) Hypoxial adaptation  
Keyword(4) Higher-order image feature  
Keyword(5) Cellular morphology  
Keyword(6) Two-photon microscopy  
Keyword(7) Support vector machine  
Keyword(8) Machine learning  
1st Author's Name Tomohiro Nishino  
1st Author's Affiliation The University of Electro-Communications (UEC Tokyo)
2nd Author's Name Sosuke Tanaka  
2nd Author's Affiliation The University of Electro-Communications (UEC Tokyo)
3rd Author's Name Masahiro Nitta  
3rd Author's Affiliation The University of Electro-Communications (UEC Tokyo)
4th Author's Name Takuma Sugashi  
4th Author's Affiliation The University of Electro-Communications (UEC Tokyo)
5th Author's Name Kazuto Masamoto  
5th Author's Affiliation The University of Electro-Communications (UEC Tokyo)
6th Author's Name Yoichi Miyawaki  
6th Author's Affiliation The University of Electro-Communications (UEC Tokyo)
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Speaker
Date Time 2017-03-14 13:10:00 
Presentation Time 25 
Registration for NC 
Paper # IEICE-NC2016-91 
Volume (vol) IEICE-116 
Number (no) no.521 
Page pp.159-164 
#Pages IEICE-6 
Date of Issue IEICE-NC-2017-03-06 


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