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Segmented anisotropic ssTEM dataset of neural tissue


Gerhard, Stephan; Funke, Jan; Martel, Julien; Cardona, Albert; Fetter, Richard (2013). Segmented anisotropic ssTEM dataset of neural tissue. London, UK: figshare.

Abstract

We provide two image stacks where each contains 20 sections from serial section Transmission Electron Microscopy (ssTEM) of the Drosophila melanogaster third instar larva ventral nerve cord. Both stacks measure approx. 4.7 x 4.7 x 1 microns with a resolution of 4.6 x 4.6 nm/pixel and section thickness of 45-50 nm.
In addition to the raw image data, we provide for the first stack a dense labeling of neuron membranes (including orientation and junction), mitochondria, synapses and glia/extracellular space. The first stack serves as a training dataset, and a second stack of the same dimension can be used as a test dataset.

We provide two image stacks where each contains 20 sections from serial section Transmission Electron Microscopy (ssTEM) of the Drosophila melanogaster third instar larva ventral nerve cord. Both stacks measure approx. 4.7 x 4.7 x 1 microns with a resolution of 4.6 x 4.6 nm/pixel and section thickness of 45-50 nm.
In addition to the raw image data, we provide for the first stack a dense labeling of neuron membranes (including orientation and junction), mitochondria, synapses and glia/extracellular space. The first stack serves as a training dataset, and a second stack of the same dimension can be used as a test dataset.

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Additional indexing

Item Type:Scientific Publication in Electronic Form
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2013
Deposited On:14 Feb 2014 16:15
Last Modified:05 Apr 2016 17:33
Publisher:figshare
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.6084/m9.figshare.856713
Official URL:http://dx.doi.org/10.6084/m9.figshare.856713
Related URLs:http://github.com/unidesigner/groundtruth-drosophila-vnc

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