Literature DB >> 27259933

Rapid and Semi-automated Extraction of Neuronal Cell Bodies and Nuclei from Electron Microscopy Image Stacks.

Paul S Holcomb1, Michael Morehead2, Gianfranco Doretto2, Peter Chen2, Stuart Berg3, Stephen Plaza3, George Spirou4,5,6,7.   

Abstract

Connectomics-the study of how neurons wire together in the brain-is at the forefront of modern neuroscience research. However, many connectomics studies are limited by the time and precision needed to correctly segment large volumes of electron microscopy (EM) image data. We present here a semi-automated segmentation pipeline using freely available software that can significantly decrease segmentation time for extracting both nuclei and cell bodies from EM image volumes.

Entities:  

Keywords:  3D reconstruction; Connectomics; Electron microscopy; Segmentation; ilastik

Mesh:

Year:  2016        PMID: 27259933      PMCID: PMC4978130          DOI: 10.1007/978-1-4939-3615-1_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Carving: scalable interactive segmentation of neural volume electron microscopy images.

Authors:  C N Straehle; U Köthe; G Knott; F A Hamprecht
Journal:  Med Image Comput Comput Assist Interv       Date:  2011

Review 2.  The big data challenges of connectomics.

Authors:  Jeff W Lichtman; Hanspeter Pfister; Nir Shavit
Journal:  Nat Neurosci       Date:  2014-10-28       Impact factor: 24.884

3.  Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks.

Authors:  Mojtaba Seyedhosseini; Mehdi Sajjadi; Tolga Tasdizen
Journal:  Proc IEEE Int Conf Comput Vis       Date:  2013-12
  3 in total

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