• 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

哺乳动物全脑细胞连接组学的进展

Progress Towards Mammalian Whole-Brain Cellular Connectomics.

作者信息

Mikula Shawn

机构信息

Max-Planck Institute for Neurobiology, Electrons - Photons - Neurons Martinsried, Germany.

出版信息

Front Neuroanat. 2016 Jun 30;10:62. doi: 10.3389/fnana.2016.00062. eCollection 2016.

DOI:10.3389/fnana.2016.00062
PMID:27445704
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4927572/
Abstract

Neurons are the fundamental structural units of the nervous system-i.e., the Neuron Doctrine-as the pioneering work of Santiago Ramón y Cajal in the 1880's clearly demonstrated through careful observation of Golgi-stained neuronal morphologies. However, at that time sample preparation, imaging methods and computational tools were either nonexistent or insufficiently developed to permit the precise mapping of an entire brain with all of its neurons and their connections. Some measure of the "mesoscopic" connectional organization of the mammalian brain has been obtained over the past decade by alignment of sparse subsets of labeled neurons onto a reference atlas or via MRI-based diffusion tensor imaging. Neither method, however, provides data on the complete connectivity of all neurons comprising an individual brain. Fortunately, whole-brain cellular connectomics now appears within reach due to recent advances in whole-brain sample preparation and high-throughput electron microscopy (EM), though substantial obstacles remain with respect to large volume electron microscopic acquisitions and automated neurite reconstructions. This perspective examines the current status and problems associated with generating a mammalian whole-brain cellular connectome and argues that the time is right to launch a concerted connectomic attack on a small mammalian whole-brain.

摘要

神经元是神经系统的基本结构单位,即神经元学说。19世纪80年代圣地亚哥·拉蒙·卡哈尔的开创性工作通过对高尔基染色的神经元形态进行仔细观察清楚地证明了这一点。然而,当时的样本制备、成像方法和计算工具要么不存在,要么发展不完善,无法精确绘制出包含所有神经元及其连接的整个大脑图谱。在过去十年中,通过将标记神经元的稀疏子集与参考图谱对齐或通过基于MRI的扩散张量成像,已经获得了一些关于哺乳动物大脑“介观”连接组织的测量结果。然而,这两种方法都无法提供关于构成单个大脑的所有神经元完整连接性的数据。幸运的是,由于全脑样本制备和高通量电子显微镜(EM)的最新进展,全脑细胞连接组学现在似乎触手可及,尽管在大体积电子显微镜采集和自动神经突重建方面仍然存在重大障碍。本文探讨了与生成哺乳动物全脑细胞连接组相关的现状和问题,并认为现在是对小型哺乳动物全脑发起协同连接组学研究的时机。

相似文献

1
Progress Towards Mammalian Whole-Brain Cellular Connectomics.哺乳动物全脑细胞连接组学的进展
Front Neuroanat. 2016 Jun 30;10:62. doi: 10.3389/fnana.2016.00062. eCollection 2016.
2
Connectomics: comprehensive approaches for whole-brain mapping.连接组学:全脑图谱绘制的综合方法。
Microscopy (Oxf). 2015 Feb;64(1):57-67. doi: 10.1093/jmicro/dfu103. Epub 2014 Dec 18.
3
Recent advancement in the challenges to connectomics.连接组学面临的挑战的最新进展。
Microscopy (Oxf). 2016 Apr;65(2):97-107. doi: 10.1093/jmicro/dfv371. Epub 2015 Dec 15.
4
Connectomics and epilepsy.连接组学与癫痫
Curr Opin Neurol. 2013 Apr;26(2):186-94. doi: 10.1097/WCO.0b013e32835ee5b8.
5
Multiscale exploration of mouse brain microstructures using the knife-edge scanning microscope brain atlas.利用刀扫描显微镜脑图谱进行多尺度小鼠脑微观结构研究。
Front Neuroinform. 2011 Nov 22;5:29. doi: 10.3389/fninf.2011.00029. eCollection 2011.
6
The big data challenges of connectomics.连接组学的大数据挑战。
Nat Neurosci. 2014 Nov;17(11):1448-54. doi: 10.1038/nn.3837. Epub 2014 Oct 28.
7
Of what use is connectomics? A personal perspective on the connectome.连接组学有何用处?从连接组学反观个人。
J Exp Biol. 2018 May 20;221(Pt 10):jeb164954. doi: 10.1242/jeb.164954.
8
FluoEM, virtual labeling of axons in three-dimensional electron microscopy data for long-range connectomics.FluoEM,用于三维电子显微镜数据中远距离连接组学的轴突虚拟标记。
Elife. 2018 Aug 14;7:e38976. doi: 10.7554/eLife.38976.
9
Progress towards a cellularly resolved mouse mesoconnectome is empowered by data fusion and new neuroanatomy techniques.细胞分辨率的小鼠介观连接组学的研究进展得益于数据融合和新的神经解剖技术。
Neurosci Biobehav Rev. 2021 Sep;128:569-591. doi: 10.1016/j.neubiorev.2021.06.016. Epub 2021 Jun 10.
10
preparation of brains enables high-throughput FIB-SEM connectomics.脑组织准备工作可实现高通量 FIB-SEM 连接组学。
Front Neural Circuits. 2022 Dec 16;16:917251. doi: 10.3389/fncir.2022.917251. eCollection 2022.

引用本文的文献

1
Comparative prospects of imaging methods for whole-brain mammalian connectomics.全脑哺乳动物连接组学成像方法的比较前景
Cell Rep Methods. 2025 Feb 24;5(2):100988. doi: 10.1016/j.crmeth.2025.100988. Epub 2025 Feb 18.
2
A technology platform for standardized cryoprotection and freezing of large-volume brain tissues for high-resolution histology.一种用于对大容量脑组织进行标准化冷冻保护和冷冻以进行高分辨率组织学研究的技术平台。
Front Neuroanat. 2023 Nov 2;17:1292655. doi: 10.3389/fnana.2023.1292655. eCollection 2023.
3
U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.

本文引用的文献

1
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography.利用 X 射线微断层扫描技术定量测量介观神经解剖结构。
eNeuro. 2017 Oct 16;4(5). doi: 10.1523/ENEURO.0195-17.2017. eCollection 2017 Sep-Oct.
2
Anatomy and function of an excitatory network in the visual cortex.视觉皮层中一个兴奋性网络的解剖结构与功能
Nature. 2016 Apr 21;532(7599):370-4. doi: 10.1038/nature17192. Epub 2016 Mar 28.
3
A Fast Method for the Segmentation of Synaptic Junctions and Mitochondria in Serial Electron Microscopic Images of the Brain.一种快速分割脑内连续电子显微镜图像中突触结和线粒体的方法。
U-RISC:一个带有注释的超高分辨率电子显微镜数据集,对现有的深度学习算法提出挑战。
Front Comput Neurosci. 2022 Apr 11;16:842760. doi: 10.3389/fncom.2022.842760. eCollection 2022.
4
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery.大脑观测站存储服务与数据库(BossDB):一种用于千万亿字节级神经科学发现的云原生方法。
Front Neuroinform. 2022 Feb 15;16:828787. doi: 10.3389/fninf.2022.828787. eCollection 2022.
5
Cellular connectomes as arbiters of local circuit models in the cerebral cortex.细胞连接组作为大脑皮层局部回路模型的仲裁者。
Nat Commun. 2021 May 13;12(1):2785. doi: 10.1038/s41467-021-22856-z.
6
Upscaling X-ray nanoimaging to macroscopic specimens.将X射线纳米成像扩展至宏观标本。
J Appl Crystallogr. 2021 Feb 19;54(Pt 2):386-401. doi: 10.1107/S1600576721000194. eCollection 2021 Apr 1.
7
Editorial: Electron-Microscopy-Based Tools for Imaging Cellular Circuits and Organisms.社论:基于电子显微镜的细胞回路和生物体成像工具
Front Neural Circuits. 2019 Oct 11;13:64. doi: 10.3389/fncir.2019.00064. eCollection 2019.
8
A Student's Guide to Neural Circuit Tracing.神经回路追踪学生指南
Front Neurosci. 2019 Aug 27;13:897. doi: 10.3389/fnins.2019.00897. eCollection 2019.
9
Large-Area Fluorescence and Electron Microscopic Correlative Imaging With Multibeam Scanning Electron Microscopy.大面积荧光和电子显微镜相关成像与多束扫描电子显微镜。
Front Neural Circuits. 2019 May 8;13:29. doi: 10.3389/fncir.2019.00029. eCollection 2019.
10
Connectomics: A pharmacologic viewpoint.连接组学:药理学视角。
Indian J Pharmacol. 2018 Nov-Dec;50(6):299-301. doi: 10.4103/ijp.IJP_2_19.
Neuroinformatics. 2016 Apr;14(2):235-50. doi: 10.1007/s12021-015-9288-z.
4
Extracellular space preservation aids the connectomic analysis of neural circuits.细胞外空间的保留有助于神经回路的连接组学分析。
Elife. 2015 Dec 9;4:e08206. doi: 10.7554/eLife.08206.
5
Crowdsourcing the creation of image segmentation algorithms for connectomics.众包创建用于连接组学的图像分割算法。
Front Neuroanat. 2015 Nov 5;9:142. doi: 10.3389/fnana.2015.00142. eCollection 2015.
6
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.
7
SegEM: Efficient Image Analysis for High-Resolution Connectomics.SegEM:用于高分辨率连接组学的高效图像分析。
Neuron. 2015 Sep 23;87(6):1193-1206. doi: 10.1016/j.neuron.2015.09.003.
8
Saturated Reconstruction of a Volume of Neocortex.重建新皮层的体积
Cell. 2015 Jul 30;162(3):648-61. doi: 10.1016/j.cell.2015.06.054.
9
Challenges of microtome-based serial block-face scanning electron microscopy in neuroscience.基于切片机的连续块面扫描电子显微镜在神经科学中的挑战。
J Microsc. 2015 Aug;259(2):137-142. doi: 10.1111/jmi.12244. Epub 2015 Apr 23.
10
High-resolution whole-brain staining for electron microscopic circuit reconstruction.高分辨率全脑染色用于电子显微镜下的电路重建。
Nat Methods. 2015 Jun;12(6):541-6. doi: 10.1038/nmeth.3361. Epub 2015 Apr 13.