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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035311Z
LOCATION:Room 323\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221208T120000
DTEND;TZID=Asia/Seoul:20221208T121500
UID:siggraphasia_SIGGRAPH Asia 2022_sess258_gp_128@linklings.com
SUMMARY:DXplorer: A Unified Visualization Framework for Interactive Dendri
 tic Spine Analysis using 3D Morphological Features
DESCRIPTION:Talks\n\nDXplorer: A Unified Visualization Framework for Inter
 active Dendritic Spine Analysis using 3D Morphological Features\n\nChoi\n\
 nDendritic spines are dynamic, submicron-scale protrusions on neuronal den
 drites that receive neuronal inputs. Morphological changes in the dendriti
 c spine often reflect alterations in physiological conditions and are indi
 cators of various neuropsychiatric conditions. However, owing to the highl
 y dynamic and heterogeneous nature of spines, accurate measurement and obj
 ective analysis of spine morphology are major challenges in neuroscience r
 esearch. Most conventional approaches for analyzing dendritic spines are b
 ased on two-dimensional (2D) images, which barely reflect the actual three
 -dimensional (3D) shapes. Although some recent studies have attempted to a
 nalyze spines with various 3D-based features, it is still difficult to obj
 ectively categorize and analyze spines based on 3D morphology. Here, we pr
 opose a unified visualization framework for an interactive 3D dendritic sp
 ine analysis system, DXplorer, that displays 3D rendering of spines and pl
 ots the high-dimensional features extracted from the 3D mesh of spines. Wi
 th this system, users can perform the clustering of spines interactively a
 nd explore and analyze dendritic spines based on high-dimensional features
 . We propose a series of high-dimensional morphological features extracted
  from a 3D mesh of dendritic spines. In addition, an interactive machine l
 earning classifier with visual exploration and user feedback using an inte
 ractive 3D mesh grid view ensures a more precise classification based on t
 he spine phenotype. A user study and two case studies were conducted to qu
 antitatively verify the performance and usability of the DXplorer. We demo
 nstrate that the system performs the entire analytic process effectively a
 nd provides high-quality, accurate, and objective analysis.\n\nAuthors: Ju
 nYoung Choi, Sang-Eun Lee, YeIn Lee, Eunji Cho, Sunghoe Chang, Won-Ki Jeon
 g\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, TRADE EXH
 IBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=gp_128&sess=sess258
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