webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain Images Article Swipe
Yuxin Li
,
Anan Li
,
Junhuai Li
,
Hongfang Zhou
,
Ting Cao
,
Huaijun Wang
,
Kan Wang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fninf.2020.542169
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fninf.2020.542169
The popularity of mesoscopic whole-brain imaging techniques has increased dramatically, but these techniques generate teravoxel-sized volumetric image data. Visualizing or interacting with these massive data is both necessary and essential in the bioimage analysis pipeline; however, due to their size, researchers have difficulty using typical computers to process them. The existing solutions do not consider applying web visualization and three-dimensional (3D) volume rendering methods simultaneously to reduce the number of data copy operations and provide a better way to visualize 3D structures in bioimage data. Here, we propose webTDat, an open-source, web-based, real-time 3D visualization framework for mesoscopic-scale whole-brain imaging datasets. webTDat uses an advanced rendering visualization method designed with an innovative data storage format and parallel rendering algorithms. webTDat loads the primary information in the image first and then decides whether it needs to load the secondary information in the image. By performing validation on TB-scale whole-brain datasets, webTDat achieves real-time performance during web visualization. The webTDat framework also provides a rich interface for annotation, making it a useful tool for visualizing mesoscopic whole-brain imaging data.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fninf.2020.542169
- https://www.frontiersin.org/articles/10.3389/fninf.2020.542169/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3120202036
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- OpenAlex ID
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https://openalex.org/W3120202036Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fninf.2020.542169Digital Object Identifier
- Title
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webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain ImagesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-13Full publication date if available
- Authors
-
Yuxin Li, Anan Li, Junhuai Li, Hongfang Zhou, Ting Cao, Huaijun Wang, Kan WangList of authors in order
- Landing page
-
https://doi.org/10.3389/fninf.2020.542169Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fninf.2020.542169/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fninf.2020.542169/pdfDirect OA link when available
- Concepts
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Visualization, Computer science, Rendering (computer graphics), Data visualization, Volume rendering, Mesoscopic physics, Data mining, Interactive visualization, Computer graphics (images), Artificial intelligence, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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