Interactive Dendritic Spine Analysis Based on 3D Morphological Features

Jun Young Choi; Sang Eun Lee; Eunji Cho; Yutaro Kashiwagi; Shigeo Okabe; Sunghoe Chang; Won Ki Jeong

doi:10.1109/VISUAL.2019.8933795

Interactive Dendritic Spine Analysis Based on 3D Morphological Features

Jun Young Choi
, Sang Eun Lee
, Eunji Cho
, Yutaro Kashiwagi
, Shigeo Okabe
, Sunghoe Chang
, Won Ki Jeong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Dendritic spines are submicron scale protrusions on neuronal dendrites that form the postsynaptic sites of excitatory neuronal inputs. The morphological changes of dendritic spines reflect alterations in physiological conditions and are further indicators of various neuropsychiatric conditions. However, due to the highly dynamic and heterogeneous nature of spines, accurate measurement and object analysis of spine morphology is a major challenge in neuroscience research. Here, we propose an interactive 3D dendritic spine analysis system that displays 3D rendering of spines and plots the high-dimensional features extracted from the 3D mesh of spines in three graph types (parallel coordinate plot, radar plot, and 2D scatter plot with t-Distributed Stochastic Neighbor Embedding). With this system, analysts can effectively explore and analyze the dendritic spine in a 3D manner with high-dimensional features. For the system, we have constructed a set of morphological high-dimensional features from the 3D mesh of dendritic spines.

Original language	English
Title of host publication	2019 IEEE Visualization Conference, VIS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	171-175
Number of pages	5
ISBN (Electronic)	9781728149417
DOIs	https://doi.org/10.1109/VISUAL.2019.8933795
Publication status	Published - 2019 Oct
Externally published	Yes
Event	2019 IEEE Visualization Conference, VIS 2019 - Vancouver, Canada Duration: 2019 Oct 20 → 2019 Oct 25

Publication series

Name	2019 IEEE Visualization Conference, VIS 2019

Conference

Conference	2019 IEEE Visualization Conference, VIS 2019
Country/Territory	Canada
City	Vancouver
Period	19/10/20 → 19/10/25

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Biomedical and Medical Visualization
Coordinated and Multiple Views
User Interfaces

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Media Technology
Modelling and Simulation

Access to Document

10.1109/VISUAL.2019.8933795

Cite this

Choi, J. Y., Lee, S. E., Cho, E., Kashiwagi, Y., Okabe, S., Chang, S., & Jeong, W. K. (2019). Interactive Dendritic Spine Analysis Based on 3D Morphological Features. In 2019 IEEE Visualization Conference, VIS 2019 (pp. 171-175). Article 8933795 (2019 IEEE Visualization Conference, VIS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VISUAL.2019.8933795

Interactive Dendritic Spine Analysis Based on 3D Morphological Features. / Choi, Jun Young; Lee, Sang Eun; Cho, Eunji et al.
2019 IEEE Visualization Conference, VIS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 171-175 8933795 (2019 IEEE Visualization Conference, VIS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, JY, Lee, SE, Cho, E, Kashiwagi, Y, Okabe, S, Chang, S & Jeong, WK 2019, Interactive Dendritic Spine Analysis Based on 3D Morphological Features. in 2019 IEEE Visualization Conference, VIS 2019., 8933795, 2019 IEEE Visualization Conference, VIS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 171-175, 2019 IEEE Visualization Conference, VIS 2019, Vancouver, Canada, 19/10/20. https://doi.org/10.1109/VISUAL.2019.8933795

@inproceedings{50370168cbde490da4d80639f968ea58,

title = "Interactive Dendritic Spine Analysis Based on 3D Morphological Features",

abstract = "Dendritic spines are submicron scale protrusions on neuronal dendrites that form the postsynaptic sites of excitatory neuronal inputs. The morphological changes of dendritic spines reflect alterations in physiological conditions and are further indicators of various neuropsychiatric conditions. However, due to the highly dynamic and heterogeneous nature of spines, accurate measurement and object analysis of spine morphology is a major challenge in neuroscience research. Here, we propose an interactive 3D dendritic spine analysis system that displays 3D rendering of spines and plots the high-dimensional features extracted from the 3D mesh of spines in three graph types (parallel coordinate plot, radar plot, and 2D scatter plot with t-Distributed Stochastic Neighbor Embedding). With this system, analysts can effectively explore and analyze the dendritic spine in a 3D manner with high-dimensional features. For the system, we have constructed a set of morphological high-dimensional features from the 3D mesh of dendritic spines.",

keywords = "Biomedical and Medical Visualization, Coordinated and Multiple Views, User Interfaces",

author = "Choi, \{Jun Young\} and Lee, \{Sang Eun\} and Eunji Cho and Yutaro Kashiwagi and Shigeo Okabe and Sunghoe Chang and Jeong, \{Won Ki\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Visualization Conference, VIS 2019 ; Conference date: 20-10-2019 Through 25-10-2019",

year = "2019",

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doi = "10.1109/VISUAL.2019.8933795",

language = "English",

series = "2019 IEEE Visualization Conference, VIS 2019",

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AU - Choi, Jun Young

AU - Lee, Sang Eun

AU - Cho, Eunji

AU - Kashiwagi, Yutaro

AU - Okabe, Shigeo

AU - Chang, Sunghoe

AU - Jeong, Won Ki

PY - 2019/10

Y1 - 2019/10

N2 - Dendritic spines are submicron scale protrusions on neuronal dendrites that form the postsynaptic sites of excitatory neuronal inputs. The morphological changes of dendritic spines reflect alterations in physiological conditions and are further indicators of various neuropsychiatric conditions. However, due to the highly dynamic and heterogeneous nature of spines, accurate measurement and object analysis of spine morphology is a major challenge in neuroscience research. Here, we propose an interactive 3D dendritic spine analysis system that displays 3D rendering of spines and plots the high-dimensional features extracted from the 3D mesh of spines in three graph types (parallel coordinate plot, radar plot, and 2D scatter plot with t-Distributed Stochastic Neighbor Embedding). With this system, analysts can effectively explore and analyze the dendritic spine in a 3D manner with high-dimensional features. For the system, we have constructed a set of morphological high-dimensional features from the 3D mesh of dendritic spines.

AB - Dendritic spines are submicron scale protrusions on neuronal dendrites that form the postsynaptic sites of excitatory neuronal inputs. The morphological changes of dendritic spines reflect alterations in physiological conditions and are further indicators of various neuropsychiatric conditions. However, due to the highly dynamic and heterogeneous nature of spines, accurate measurement and object analysis of spine morphology is a major challenge in neuroscience research. Here, we propose an interactive 3D dendritic spine analysis system that displays 3D rendering of spines and plots the high-dimensional features extracted from the 3D mesh of spines in three graph types (parallel coordinate plot, radar plot, and 2D scatter plot with t-Distributed Stochastic Neighbor Embedding). With this system, analysts can effectively explore and analyze the dendritic spine in a 3D manner with high-dimensional features. For the system, we have constructed a set of morphological high-dimensional features from the 3D mesh of dendritic spines.

KW - Biomedical and Medical Visualization

KW - Coordinated and Multiple Views

KW - User Interfaces

UR - https://www.scopus.com/pages/publications/85078019934

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M3 - Conference contribution

AN - SCOPUS:85078019934

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BT - 2019 IEEE Visualization Conference, VIS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Visualization Conference, VIS 2019

Y2 - 20 October 2019 through 25 October 2019

ER -

Interactive Dendritic Spine Analysis Based on 3D Morphological Features

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this