Patricia K. Rivlin

Connectome quality converges predictably to reveal optimal stopping points during proofreading

H. Martínez, Jordan Matelsky, Daniel Xenes, Katharine Merfeld et autres

ABSTRACT Volumetric electron microscopy (EM) has become a critical approach to generating high-resolution reconstructions of brain tissue. As the size of EM volumes increase, use of automated image segmentation within the reconstruction pipeline has become essential, although it generates errors that need …

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EM and XRM Connectomics Imaging and Experimental Metadata Standards.

Miguel E. Wimbish, Nicole Guittari, Victoria A. Rose, Jorge L. Rivera et autres

High resolution volumetric neuroimaging datasets from electron microscopy (EM) and x-ray micro and holographic-nano tomography (XRM/XHN) are being generated at an increasing rate and by a growing number of research teams. These datasets are derived from an increasing number of species, in …

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Comparative Connectomics Highlights Conserved Architectural Synaptic Motifs in the Drosophila Mushroom Body

Patricia K. Rivlin, Michael S. Robinette, Jordan Matelsky, Brock A. Wester

ABSTRACT While the influence of synaptic plasticity on learning and memory has been extensively studied, the detailed patterns of synaptic connectivity remain incompletely mapped. Convergent synaptic motifs — a tight grouping of at least two axons whose active zones are within 300nm …

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Functional connectomics spanning multiple areas of mouse visual cortex

J. Alexander Bae, Mahaly Baptiste, Maya R. Baptiste, Caitlyn Bishop et autres

Abstract Understanding the brain requires understanding neurons’ functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal …

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NEURD offers automated proofreading and feature extraction for connectomics

Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G. Fahey et autres

Abstract We are in the era of millimetre-scale electron microscopy volumes collected at nanometre resolution 1,2 . Dense reconstruction of cellular compartments in these electron microscopy volumes has been enabled by recent advances in machine learning 3–6 . Automated segmentation methods produce …

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Connectome-driven neural inventory of a complete visual system

Aljoscha Nern, Frank Loesche, Shin-ya Takemura, Laura E. Burnett et autres

Abstract Vision provides animals with detailed information about their surroundings and conveys diverse features such as colour, form and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons. Consequently, from flies to humans, …

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Nanoscale Connectomics Annotation Standards Framework

Nicole Guittari, Miguel E. Wimbish, Patricia K. Rivlin, Mark A. Hinton et autres

The promise of large-scale, high-resolution datasets from Electron Microscopy (EM) and X-ray Microtomography (XRM) lies in their ability to reveal neural structures and synaptic connectivity, which is critical for understanding the brain. Effectively managing these complex and rapidly increasing datasets will enable …

A Connectome of the Male Drosophila Ventral Nerve Cord

Shin-ya Takemura, Kenneth J. Hayworth, Gary B. Huang, Michał Januszewski et autres

Abstract Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls behavior requires mapping neuronal circuits all the way to motor neurons. We have previously established technology to collect large-volume electron microscopy data sets of neural …

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A Connectome of the Male Drosophila Ventral Nerve Cord

Shin-ya Takemura, Kenneth J. Hayworth, Gary B. Huang, Michał Januszewski et autres

Abstract Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls behavior requires mapping neuronal circuits all the way to motor neurons. We have previously established technology to collect large-volume electron microscopy data sets of neural …

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Reviewer #2 (Public Review): A Connectome of the Male Drosophila Ventral Nerve Cord

Shin-ya Takemura, Kenneth J. Hayworth, Gary B. Huang, Michał Januszewski et autres

Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls behavior requires mapping neuronal circuits all the way to motor neurons. We have previously established technology to collect large-volume electron microscopy data sets of neural tissue …

Reviewer #1 (Public Review): A Connectome of the Male Drosophila Ventral Nerve Cord

Shin-ya Takemura, Kenneth J. Hayworth, Gary B. Huang, Michał Januszewski et autres

Animal behavior is principally expressed through neural control of muscles. Therefore understanding how the brain controls behavior requires mapping neuronal circuits all the way to motor neurons. We have previously established technology to collect large-volume electron microscopy data sets of neural tissue …

Connectomic Analysis of Mitochondria in the Central Brain of Drosophila

Kit D. Longden, Patricia K. Rivlin, Michał Januszewski, Erika Neace et autres

Hemibrain connectome dataset, we extract, classify, and measure approximately 6 million mitochondria, with the majority located among more than 20 thousand neurons and over 5500 cell types. Each mitochondrion is annotated with its location, orientation, voxel size, and appearance (dark and dense, …

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