Automatic tracing of ultra-volumes of neuronal images

Automated tracing algorithms can extract neuronal morphology from fluorescent or brightfield images. UltraTracer scales up the capability of existing tracing algorithms to handle datasets of ever-increasing size.

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Bibliographische Detailangaben
Veröffentlicht in:	Nature methods 2017-03, Vol.14 (4), p.332-333
Hauptverfasser:	Peng, Hanchuan, Zhou, Zhi, Meijering, Erik, Zhao, Ting, Ascoli, Giorgio A, Hawrylycz, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	14/56 14/63 631/114 631/114/116 631/114/1564 631/1647/794 631/378 Algorithms Axons - ultrastructure Biochemistry Bioinformatics Biological Microscopy Biological Techniques Biomedical Engineering/Biotechnology Biophysics correspondence Datasets Dendrites - ultrastructure Design Humans Image Processing, Computer-Assisted - methods Life Sciences Morphology Neurons - ultrastructure Proteomics Sensitivity and Specificity Software
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Beschreibung
Zusammenfassung:	Automated tracing algorithms can extract neuronal morphology from fluorescent or brightfield images. UltraTracer scales up the capability of existing tracing algorithms to handle datasets of ever-increasing size.
ISSN:	1548-7091 1548-7105
DOI:	10.1038/nmeth.4233