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TrakEM2 Software for Neural Circuit Reconstruction

Open access
Cardona, Albert, Saalfeld, Stephan, Schindelin, Johannes, Arganda-Carreras, Ignacio, Preibisch, Stephan, Longair, Mark, Tomancak, Pavel, Hartenstein, Volker, Douglas, Rodney J.·2012·PLoS ONE

Abstract

A key challenge in neuroscience is the expeditious reconstruction of neuronal circuits. For model systems such as Drosophila and C. elegans, the limiting step is no longer the acquisition of imagery but the extraction of the circuit from images. For this purpose, we designed a software application, TrakEM2, that addresses the systematic reconstruction of neuronal circuits from large electron microscopical and optical image volumes. We address the challenges of image volume composition from individual, deformed images; of the reconstruction of neuronal arbors and annotation of synapses with fast manual and semi-automatic methods; and the management of large collections of both images and annotations. The output is a neural circuit of 3d arbors and synapses, encoded in NeuroML and other formats, ready for analysis.

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Metadata

Authors
Cardona, A., Saalfeld, S., Schindelin, J., Arganda-Carreras, I., Preibisch, S., Longair, M., Tomancak, P., Hartenstein, V., & Douglas, R. J.
Venue
PLoS ONE
Published
2012-06-19
Volume
7
Issue
6
Pages
e38011
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2147762902
Cited by
1,013
References
42
FWCI
19.96
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: TrakEM2 Software for Neural Circuit Reconstruction. https://app.cochat.ai/papers/10.1371/journal.pone.0038011
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Cardona, A., Saalfeld, S., Schindelin, J., Arganda-Carreras, I., Preibisch, S., Longair, M., Tomancak, P., Hartenstein, V., & Douglas, R. J. (2012). TrakEM2 Software for Neural Circuit Reconstruction. PLoS ONE. https://doi.org/10.1371/journal.pone.0038011

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