Literature DB >> 20650718

Ssecrett and NeuroTrace: interactive visualization and analysis tools for large-scale neuroscience data sets.

Wan-Ki Jeong1, Johanna Beyer, Markus Hadwiger, Rusty Blue, Charles Law, Amelio Vazquez-Reina, R Clay Reid, Jeff Lichtman, Hanspeter Pfister.   

Abstract

Data sets imaged with modern electron microscopes can range from tens of terabytes to about one petabyte. Two new tools, Ssecrett and NeuroTrace, support interactive exploration and analysis of large-scale optical-and electron-microscopy images to help scientists reconstruct complex neural circuits of the mammalian nervous system.

Entities:  

Mesh：

Year:  2010        PMID： 20650718      PMCID： PMC2909612          DOI： 10.1109/MCG.2010.56

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN： 0272-1716            Impact factor:   2.088


  3 in total

1.  Learning to detect natural image boundaries using local brightness, color, and texture cues.

Authors:  David R Martin; Charless C Fowlkes; Jitendra Malik
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2004-05       Impact factor: 6.226

2.  Scalable and interactive segmentation and visualization of neural processes in EM datasets.

Authors:  Won-Ki Jeong; Johanna Beyer; Markus Hadwiger; Amelio Vazquez; Hanspeter Pfister; Ross T Whitaker
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

Review 3.  The human connectome: A structural description of the human brain.

Authors:  Olaf Sporns; Giulio Tononi; Rolf Kötter
Journal:  PLoS Comput Biol       Date:  2005-09       Impact factor: 4.475
  3 in total
  25 in total

Review 1.  Cellular-resolution connectomics: challenges of dense neural circuit reconstruction.

Authors:  Moritz Helmstaedter
Journal:  Nat Methods       Date:  2013-06       Impact factor: 28.547

Review 2.  Neuronal tracing for connectomic studies.

Authors:  Ju Lu
Journal:  Neuroinformatics       Date:  2011-09

3.  High-accuracy neurite reconstruction for high-throughput neuroanatomy.

Authors:  Moritz Helmstaedter; Kevin L Briggman; Winfried Denk
Journal:  Nat Neurosci       Date:  2011-07-10       Impact factor: 24.884

4.  A multiscale parallel computing architecture for automated segmentation of the brain connectome.

Authors:  Sylvain Jaume; Kathleen Knobe; Ryan R Newton; Frank Schlimbach; Melanie Blower; R Clay Reid
Journal:  IEEE Trans Biomed Eng       Date:  2011-09-15       Impact factor: 4.538

Review 5.  Retinal connectomics: towards complete, accurate networks.

Authors:  Robert E Marc; Bryan W Jones; Carl B Watt; James R Anderson; Crystal Sigulinsky; Scott Lauritzen
Journal:  Prog Retin Eye Res       Date:  2013-09-07       Impact factor: 21.198

6.  Visualization of Neuronal Structures in Wide-Field Microscopy Brain Images.

Authors:  Saeed Boorboor; Mala Ananth; David Talmage; Arie Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-08-20       Impact factor: 4.579

Review 7.  Is realistic neuronal modeling realistic?

Authors:  Mara Almog; Alon Korngreen
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

8.  ConnectomeExplorer: query-guided visual analysis of large volumetric neuroscience data.

Authors:  Johanna Beyer; Ali Al-Awami; Narayanan Kasthuri; Jeff W Lichtman; Hanspeter Pfister; Markus Hadwiger
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

9.  A Virtual Reality Visualization Tool for Neuron Tracing.

Authors:  Will Usher; Pavol Klacansky; Frederick Federer; Peer-Timo Bremer; Aaron Knoll; Jeff Yarch; Alessandra Angelucci; Valerio Pascucci
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-08-29       Impact factor: 4.579

10.  Exploring the connectome: petascale volume visualization of microscopy data streams.

Authors:  Johanna Beyer; Markus Hadwiger; Ali Al-Awami; Won-Ki Jeong; Narayanan Kasthuri; Jeff W Lichtman; Hanspeter Pfister
Journal:  IEEE Comput Graph Appl       Date:  2013 Jul-Aug       Impact factor: 2.088
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.