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相关论文: Comparative prospects of imaging methods for whole…

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Comprehensive, synapse-resolution imaging of the brain will be crucial for understanding neuronal computations and function. In connectomics, this has been the sole purview of volume electron microscopy (EM), which entails an excruciatingly…

图像与视频处理 · 电气工程与系统科学 2023-03-03 Yicong Li , Yaron Meirovitch , Aaron T. Kuan , Jasper S. Phelps , Alexandra Pacureanu , Wei-Chung Allen Lee , Nir Shavit , Lu Mi

Reconstructing multiple molecularly defined neurons from individual brains and across multiple brain regions can reveal organizational principles of the nervous system. However, high resolution imaging of the whole brain is a technically…

计算机视觉与模式识别 · 计算机科学 2019-03-19 James Gornet , Kannan Umadevi Venkataraju , Arun Narasimhan , Nicholas Turner , Kisuk Lee , H. Sebastian Seung , Pavel Osten , Uygar Sümbül

The mammalian brain is a densely interconnected network that consists of millions to billions of neurons. Decoding how information is represented and processed by this neural circuitry requires the ability to capture and manipulate the…

生物物理 · 物理学 2018-05-10 Siegfried Weisenburger , Alipasha Vaziri

Existing methods in nanoscale connectomics are at present too slow to map entire mammalian brains. As an emerging approach, expansion microscopy (ExM) has enormous promise, yet it still suffers from throughput limitations. Mapping the human…

定量方法 · 定量生物学 2026-01-21 Logan Thrasher Collins

Unprecedented visual details of biological structures are being revealed by subcellular-resolution whole-brain 3D microscopy data, enabled by recent advances in intact tissue processing and light-sheet fluorescence microscopy (LSFM). These…

计算机视觉与模式识别 · 计算机科学 2026-04-01 Minyoung E. Kim , Dae Hee Yun , Aditi V. Patel , Madeline Hon , Webster Guan , Taegeon Lee , Brian Nguyen

If we are ever to unravel the mysteries of brain function at its most fundamental level, we will need a precise understanding of how its component neurons connect to each other. Electron Microscopes (EM) can now provide the nanometer…

计算机视觉与模式识别 · 计算机科学 2016-09-28 Pascal Fua , Graham Knott

Connectomics is a field of neuroscience that analyzes neuronal connections. A connectome is a complete map of a neuronal system, comprising all neuronal connections between its structures. The term "connectome" is close to the word "genome"…

The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This information-rich data modality has the potential to…

Over the last ten years, developments in whole-brain microscopy now allow for high-resolution imaging of intact brains of small rodents such as mice. These complex images contain a wealth of information, but many neuroscience laboratories…

神经元与认知 · 定量生物学 2021-02-24 Adam L Tyson , Troy W Margrie

Scientists construct connectomes, comprehensive descriptions of neuronal connections across a brain, in order to better understand and model brain function. Interactive visualizations of these pathways would enable exploratory analysis of…

神经元与认知 · 定量生物学 2022-05-06 Seth Daetwiler , Angus Read , Jessica Stillwell , Kameron Decker Harris

The emerging field of connectomics aims to unlock the mysteries of the brain by understanding the connectivity between neurons. To map this connectivity, we acquire thousands of electron microscopy (EM) images with nanometer-scale…

定量方法 · 定量生物学 2016-04-04 Stephen M. Plaza , Stuart E. Berg

Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy. One of the main challenges in connectomics research is…

计算机视觉与模式识别 · 计算机科学 2021-04-14 Tran Minh Quan , David G. C. Hildebrand , Won-Ki Jeong

Volumetric brain reconstructions provide an unprecedented opportunity to gain insights into the complex connectivity patterns of neurons in an increasing number of organisms. Here, we model and quantify the complexity of the resulting…

神经元与认知 · 定量生物学 2024-05-13 Anastasiya Salova , István A. Kovács

Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic functional architecture of the brain. With task-driven…

神经元与认知 · 定量生物学 2013-04-16 Gaël Varoquaux , R. C. Craddock

Functional MRI (fMRI) and diffusion MRI (dMRI) are non-invasive imaging modalities that allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these technologies has enabled faster and better diagnoses and…

机器学习 · 计算机科学 2016-12-06 Colin J Brown , Ghassan Hamarneh

The characterisation of the brain as a "connectome", in which the connections are represented by correlational values across timeseries and as summary measures derived from graph theory analyses, has been very popular in the last years.…

机器学习 · 计算机科学 2020-03-13 Tiago Azevedo , Luca Passamonti , Pietro Liò , Nicola Toschi

Brain connectomics is a developing field in neurosciences which strives to understand cognitive processes and psychiatric diseases through the analysis of interactions between brain regions. However, in the high-dimensional, low-sample, and…

应用统计 · 统计学 2019-11-15 Claire Donnat , Leonardo Tozzi , Susan Holmes

Extracting a connectome from an electron microscopy (EM) data set requires identification of neurons and determination of synapses between neurons. As manual extraction of this information is very time-consuming, there has been extensive…

计算机视觉与模式识别 · 计算机科学 2016-04-12 Gary B. Huang , Louis K. Scheffer , Stephen M. Plaza

Recently, there has been increased interest in fusing multimodal imaging to better understand brain organization. Specifically, accounting for knowledge of anatomical pathways connecting brain regions should lead to desirable outcomes such…

应用统计 · 统计学 2018-03-02 Ixavier A. Higgins , Suprateek Kundu , Ying Guo
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