Literature DB >> 29758457

Progress and remaining challenges in high-throughput volume electron microscopy.

Jörgen Kornfeld1, Winfried Denk2.   

Abstract

Recent advances in the effectiveness of the automatic extraction of neural circuits from volume electron microscopy data have made us more optimistic that the goal of reconstructing the nervous system of an entire adult mammal (or bird) brain can be achieved in the next decade. The progress on the data analysis side-based mostly on variants of convolutional neural networks-has been particularly impressive, but improvements in the quality and spatial extent of published VEM datasets are substantial. Methodologically, the combination of hot-knife sample partitioning and ion milling stands out as a conceptual advance while the multi-beam scanning electron microscope promises to remove the data-acquisition bottleneck.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2018        PMID: 29758457     DOI: 10.1016/j.conb.2018.04.030

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  31 in total

1.  Highlights from the Era of Open Source Web-Based Tools.

Authors:  Kristin R Anderson; Julie A Harris; Lydia Ng; Pjotr Prins; Sara Memar; Bengt Ljungquist; Daniel Fürth; Robert W Williams; Giorgio A Ascoli; Dani Dumitriu
Journal:  J Neurosci       Date:  2021-01-20       Impact factor: 6.167

Review 2.  Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy.

Authors:  Kisuk Lee; Nicholas Turner; Thomas Macrina; Jingpeng Wu; Ran Lu; H Sebastian Seung
Journal:  Curr Opin Neurobiol       Date:  2019-05-06       Impact factor: 6.627

3.  Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells.

Authors:  Jing Liu; Shengxiong Wang; Yan Lu; Haoyu Wang; Fangfang Wang; Miaoxin Qiu; Qiwei Xie; Hua Han; Yunfeng Hua
Journal:  Neurosci Bull       Date:  2021-11-27       Impact factor: 5.203

Review 4.  Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

Authors:  Robyn S Kent; Emma M Briggs; Beatrice L Colon; Catalina Alvarez; Sara Silva Pereira; Mariana De Niz
Journal:  Front Cell Infect Microbiol       Date:  2022-06-06       Impact factor: 6.073

5.  Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity.

Authors:  Nicholas L Turner; Thomas Macrina; J Alexander Bae; Runzhe Yang; Alyssa M Wilson; Casey Schneider-Mizell; Kisuk Lee; Ran Lu; Jingpeng Wu; Agnes L Bodor; Adam A Bleckert; Derrick Brittain; Emmanouil Froudarakis; Sven Dorkenwald; Forrest Collman; Nico Kemnitz; Dodam Ih; William M Silversmith; Jonathan Zung; Aleksandar Zlateski; Ignacio Tartavull; Szi-Chieh Yu; Sergiy Popovych; Shang Mu; William Wong; Chris S Jordan; Manuel Castro; JoAnn Buchanan; Daniel J Bumbarger; Marc Takeno; Russel Torres; Gayathri Mahalingam; Leila Elabbady; Yang Li; Erick Cobos; Pengcheng Zhou; Shelby Suckow; Lynne Becker; Liam Paninski; Franck Polleux; Jacob Reimer; Andreas S Tolias; R Clay Reid; Nuno Maçarico da Costa; H Sebastian Seung
Journal:  Cell       Date:  2022-02-24       Impact factor: 66.850

6.  Can One Concurrently Record Electrical Spikes from Every Neuron in a Mammalian Brain?

Authors:  David Kleinfeld; Lan Luan; Partha P Mitra; Jacob T Robinson; Rahul Sarpeshkar; Kenneth Shepard; Chong Xie; Timothy D Harris
Journal:  Neuron       Date:  2019-09-05       Impact factor: 17.173

Review 7.  Frozen algorithms: how the brain's wiring facilitates learning.

Authors:  Dhruva V Raman; Timothy O'Leary
Journal:  Curr Opin Neurobiol       Date:  2021-01-25       Impact factor: 6.627

8.  Large-scale electron microscopy database for human type 1 diabetes.

Authors:  Pascal de Boer; Nicole M Pirozzi; Anouk H G Wolters; Jeroen Kuipers; Irina Kusmartseva; Mark A Atkinson; Martha Campbell-Thompson; Ben N G Giepmans
Journal:  Nat Commun       Date:  2020-05-18       Impact factor: 14.919

Review 9.  A deep learning framework for neuroscience.

Authors:  Blake A Richards; Timothy P Lillicrap; Denis Therien; Konrad P Kording; Philippe Beaudoin; Yoshua Bengio; Rafal Bogacz; Amelia Christensen; Claudia Clopath; Rui Ponte Costa; Archy de Berker; Surya Ganguli; Colleen J Gillon; Danijar Hafner; Adam Kepecs; Nikolaus Kriegeskorte; Peter Latham; Grace W Lindsay; Kenneth D Miller; Richard Naud; Christopher C Pack; Panayiota Poirazi; Pieter Roelfsema; João Sacramento; Andrew Saxe; Benjamin Scellier; Anna C Schapiro; Walter Senn; Greg Wayne; Daniel Yamins; Friedemann Zenke; Joel Zylberberg
Journal:  Nat Neurosci       Date:  2019-10-28       Impact factor: 24.884

10.  Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction.

Authors:  Kisuk Lee; Ran Lu; Kyle Luther; H Sebastian Seung
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 10.048

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