NDLI: The DIADEM Data Sets: Representative Light Microscopy Images of Neuronal Morphology to Advance Automation of Digital Reconstructions

Content Provider	Springer Nature Link
Author	Brown, Kerry M. Barrionuevo, Germán Canty, Alison J. Paola, Vincenzo Hirsch, Judith A. Jefferis, Gregory S. X. E. Lu, Ju Snippe, Marjolein Sugihara, Izumi Ascoli, Giorgio A.
Copyright Year	2011
Abstract	The comprehensive characterization of neuronal morphology requires tracing extensive axonal and dendritic arbors imaged with light microscopy into digital reconstructions. Considerable effort is ongoing to automate this greatly labor-intensive and currently rate-determining process. Experimental data in the form of manually traced digital reconstructions and corresponding image stacks play a vital role in developing increasingly more powerful reconstruction algorithms. The DIADEM challenge (short for DIgital reconstruction of Axonal and DEndritic Morphology) successfully stimulated progress in this area by utilizing six data set collections from different animal species, brain regions, neuron types, and visualization methods. The original research projects that provided these data are representative of the diverse scientific questions addressed in this field. At the same time, these data provide a benchmark for the types of demands automated software must meet to achieve the quality of manual reconstructions while minimizing human involvement. The DIADEM data underwent extensive curation, including quality control, metadata annotation, and format standardization, to focus the challenge on the most substantial technical obstacles. This data set package is now freely released (http://diademchallenge.org) to train, test, and aid development of automated reconstruction algorithms.
Starting Page	143
Ending Page	157
Page Count	15
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	9
Issue Number	2-3
e-ISSN	15590089
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-01-20
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Axons Dendrites Neuroanatomy Tracing High-throughput Morphometry Optical imaging Computational Biology/Bioinformatics Neurosciences Neurology Computer Application in Life Sciences Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

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The DIADEM Data Sets: Representative Light Microscopy Images of Neuronal Morphology to Advance Automation of Digital Reconstructions

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