• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

抽象细胞:探索纳米级神经胶质细胞的可视化工具。

Abstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cells.

出版信息

IEEE Trans Vis Comput Graph. 2018 Jan;24(1):853-861. doi: 10.1109/TVCG.2017.2744278. Epub 2017 Aug 29.

DOI:10.1109/TVCG.2017.2744278
PMID:28866534
Abstract

This paper presents Abstractocyte, a system for the visual analysis of astrocytes and their relation to neurons, in nanoscale volumes of brain tissue. Astrocytes are glial cells, i.e., non-neuronal cells that support neurons and the nervous system. The study of astrocytes has immense potential for understanding brain function. However, their complex and widely-branching structure requires high-resolution electron microscopy imaging and makes visualization and analysis challenging. Furthermore, the structure and function of astrocytes is very different from neurons, and therefore requires the development of new visualization and analysis tools. With Abstractocyte, biologists can explore the morphology of astrocytes using various visual abstraction levels, while simultaneously analyzing neighboring neurons and their connectivity. We define a novel, conceptual 2D abstraction space for jointly visualizing astrocytes and neurons. Neuroscientists can choose a specific joint visualization as a point in this space. Interactively moving this point allows them to smoothly transition between different abstraction levels in an intuitive manner. In contrast to simply switching between different visualizations, this preserves the visual context and correlations throughout the transition. Users can smoothly navigate from concrete, highly-detailed 3D views to simplified and abstracted 2D views. In addition to investigating astrocytes, neurons, and their relationships, we enable the interactive analysis of the distribution of glycogen, which is of high importance to neuroscientists. We describe the design of Abstractocyte, and present three case studies in which neuroscientists have successfully used our system to assess astrocytic coverage of synapses, glycogen distribution in relation to synapses, and astrocytic-mitochondria coverage.

摘要

本文提出了 Abstractocyte,这是一个用于可视化分析星形胶质细胞及其与神经元关系的系统,适用于纳米尺度的脑组织体积。星形胶质细胞是神经胶质细胞,即支持神经元和神经系统的非神经元细胞。研究星形胶质细胞对于理解大脑功能具有巨大的潜力。然而,它们复杂且广泛分支的结构需要高分辨率电子显微镜成像,这使得可视化和分析具有挑战性。此外,星形胶质细胞的结构和功能与神经元非常不同,因此需要开发新的可视化和分析工具。有了 Abstractocyte,生物学家可以使用各种视觉抽象级别来探索星形胶质细胞的形态,同时分析相邻的神经元及其连接。我们定义了一个新颖的、概念性的 2D 抽象空间,用于联合可视化星形胶质细胞和神经元。神经科学家可以选择这个空间中的一个特定的联合可视化作为一个点。交互式地移动这个点可以让他们以直观的方式在不同的抽象级别之间平滑过渡。与简单地在不同的可视化之间切换相比,这在整个过渡过程中保留了视觉上下文和相关性。用户可以从具体的、高度详细的 3D 视图平滑地过渡到简化和抽象的 2D 视图。除了研究星形胶质细胞、神经元及其关系外,我们还支持对糖原分布的交互式分析,这对神经科学家非常重要。我们描述了 Abstractocyte 的设计,并介绍了三个案例研究,神经科学家成功地使用我们的系统评估了突触处的星形胶质细胞覆盖、与突触相关的糖原分布以及星形胶质细胞-线粒体的覆盖。

相似文献

1
Abstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cells.抽象细胞:探索纳米级神经胶质细胞的可视化工具。
IEEE Trans Vis Comput Graph. 2018 Jan;24(1):853-861. doi: 10.1109/TVCG.2017.2744278. Epub 2017 Aug 29.
2
NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.神经线:一种用于可视化纳米级神经元连接的地铁图隐喻。
IEEE Trans Vis Comput Graph. 2014 Dec;20(12):2369-78. doi: 10.1109/TVCG.2014.2346312.
3
NeuTu: Software for Collaborative, Large-Scale, Segmentation-Based Connectome Reconstruction.NeuTu:用于协作式、大规模、基于分割的连接组重建的软件。
Front Neural Circuits. 2018 Nov 13;12:101. doi: 10.3389/fncir.2018.00101. eCollection 2018.
4
NeuroBlocks--Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects.神经模块——大型连接组学项目中分割与校对的视觉追踪
IEEE Trans Vis Comput Graph. 2016 Jan;22(1):738-46. doi: 10.1109/TVCG.2015.2467441.
5
A computational approach towards the microscale mouse brain connectome from the mesoscale.一种从中尺度构建微观尺度小鼠脑连接组的计算方法。
J Integr Neurosci. 2017;16(3):291-306. doi: 10.3233/JIN-170019.
6
ConnectomeExplorer: query-guided visual analysis of large volumetric neuroscience data.ConnectomeExplorer:引导式可视化分析大型神经科学体积数据。
IEEE Trans Vis Comput Graph. 2013 Dec;19(12):2868-77. doi: 10.1109/TVCG.2013.142.
7
Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations.将合成星形胶质细胞形态进行代谢球剥皮,以生成用于可视化分析和计算模拟的逼真网格模型。
Bioinformatics. 2021 Jul 12;37(Suppl_1):i426-i433. doi: 10.1093/bioinformatics/btab280.
8
A Virtual Reality Visualization Tool for Neuron Tracing.神经元示踪的虚拟现实可视化工具。
IEEE Trans Vis Comput Graph. 2018 Jan;24(1):994-1003. doi: 10.1109/TVCG.2017.2744079. Epub 2017 Aug 29.
9
The Impact of Interactivity on Comprehending 2D and 3D Visualizations of Movement Data.互动对理解运动数据的 2D 和 3D 可视化的影响。
IEEE Trans Vis Comput Graph. 2015 Jan;21(1):122-35. doi: 10.1109/TVCG.2014.2329308.
10
Exploring the connectome: petascale volume visualization of microscopy data streams.探索连接组:显微镜数据流的千万亿级体数据可视化
IEEE Comput Graph Appl. 2013 Jul-Aug;33(4):50-61. doi: 10.1109/MCG.2013.55.

引用本文的文献

1
OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction.OptiSelect与EnShap:将机器学习与博弈论整合用于缺血性中风预测
PLoS One. 2025 Aug 13;20(8):e0328967. doi: 10.1371/journal.pone.0328967. eCollection 2025.
2
Vimo - Visual Analysis of Neuronal Connectivity Motifs.Vimo - 神经元连接模式的视觉分析
IEEE Trans Vis Comput Graph. 2023 Oct 26;PP. doi: 10.1109/TVCG.2023.3327388.
3
CellRemorph: A Toolkit for Transforming, Selecting, and Slicing 3D Cell Structures on the Road to Morphologically Detailed Astrocyte Simulations.
CellRemorph:一个用于在通往形态详细的星形胶质细胞模拟的道路上转换、选择和切片 3D 细胞结构的工具包。
Neuroinformatics. 2023 Jul;21(3):483-500. doi: 10.1007/s12021-023-09627-5. Epub 2023 May 3.
4
Astrocytes display ultrastructural alterations and heterogeneity in the hippocampus of aged APP-PS1 mice and human post-mortem brain samples.星形胶质细胞在老年 APP-PS1 小鼠和人类死后脑组织样本的海马体中表现出超微结构改变和异质性。
J Neuroinflammation. 2023 Mar 14;20(1):73. doi: 10.1186/s12974-023-02752-7.
5
The potential mechanisms of lactate in mediating exercise-enhanced cognitive function: a dual role as an energy supply substrate and a signaling molecule.乳酸介导运动增强认知功能的潜在机制:作为能量供应底物和信号分子的双重作用。
Nutr Metab (Lond). 2022 Jul 30;19(1):52. doi: 10.1186/s12986-022-00687-z.
6
NeuRegenerate: A Framework for Visualizing Neurodegeneration.NeuRegenerate:用于可视化神经退行性变的框架。
IEEE Trans Vis Comput Graph. 2023 Mar;29(3):1625-1637. doi: 10.1109/TVCG.2021.3127132. Epub 2023 Jan 30.
7
Augmented Reality in Medical Practice: From Spine Surgery to Remote Assistance.医学实践中的增强现实:从脊柱手术到远程协助。
Front Surg. 2021 Mar 30;8:657901. doi: 10.3389/fsurg.2021.657901. eCollection 2021.
8
Neuromodulation of Glial Function During Neurodegeneration.神经退行性变过程中胶质细胞功能的神经调节
Front Cell Neurosci. 2020 Aug 21;14:278. doi: 10.3389/fncel.2020.00278. eCollection 2020.
9
The Strategic Location of Glycogen and Lactate: From Body Energy Reserve to Brain Plasticity.糖原与乳酸的战略定位:从身体能量储备到大脑可塑性
Front Cell Neurosci. 2019 Mar 6;13:82. doi: 10.3389/fncel.2019.00082. eCollection 2019.
10
A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble.一种用于神经-胶质-血管系统的生物逼真寡细胞网络数字化和模拟的方法。
Front Neurosci. 2018 Sep 25;12:664. doi: 10.3389/fnins.2018.00664. eCollection 2018.