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| 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 |
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| 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 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 | NC2016-91 |
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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) |
| Speaker | Author-1 |
| Date Time | 2017-03-14 13:10:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2016-91 |
| Volume (vol) | vol.116 |
| Number (no) | no.521 |
| Page | pp.159-164 |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (NC) |
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