ISBI Challenge: Segmentation of neuronal structures in EM stacks
Albert Cardon and Stephan Saalfeld and Stephan Preibisch and Benjamin Schmid and Anchi Cheng and Jim Pulokas and Pavel Tomancak and Volker Hartenstein

folder files (3 files)
filetest-volume.tif 7.87MB
filetrain-labels.tif 7.87MB
filetrain-volume.tif 7.87MB
Type: Dataset
Tags:

Metadata:
@article{,
title= {ISBI Challenge: Segmentation of neuronal structures in EM stacks},
keywords= {},
journal= {},
author= {Albert Cardon and Stephan Saalfeld and Stephan Preibisch and Benjamin Schmid and Anchi Cheng and Jim Pulokas and Pavel Tomancak and Volker Hartenstein},
year= {},
url= {},
license= {},
abstract= {|File Name|Description|
|------|
|train-volume.tif (7.5 MB)	|Original training image, 8-bit grayscale, 512x512x30 pixels|
|train-labels.tif (7.5 MB)|	Training image labels (0 - membranes, 255 - non-membranes), 8-bit grayscale, 512x512x30 pixels|
|test-volume.tif (7.5 MB)	|Test image, 8-bit grayscale, 512x512x30 pixels|

The training and test datasets are two stacks of 30 sections from a serial section Transmission Electron Microscopy (ssTEM) data set of the Drosophila first instar larva ventral nerve cord (VNC). The microcube measures 2 x 2 x 1.5 microns approx., with a resolution of 4x4x50 nm/pixel.},
superseded= {},
terms= {License:
You are free to use this data set for the purpose of generating or testing non-commercial image segmentation software. If any scientific publications derive from the usage of this data set, you must cite TrakEM2 and the following publication:

Cardona A, Saalfeld S, Preibisch S, Schmid B, Cheng A, Pulokas J, Tomancak P, Hartenstein V. 2010. An Integrated Micro- and Macroarchitectural Analysis of the Drosophila Brain by Computer-Assisted Serial Section Electron Microscopy. PLoS Biol 8(10): e1000502. doi:10.1371/journal.pbio.1000502.}
}

Citation:
Cardon, A., Saalfeld, S., Preibisch, S., Schmid, B., Cheng, A., Pulokas, J., Tomancak, P., & Hartenstein, V.. (2016). ISBI Challenge: Segmentation of neuronal structures in EM stacks [Data set]. Academic Torrents. https://academictorrents.com/details/42714f859770f1a9d8b27985f9f16ea17e8ba2f6
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