Connectome File Format (CFF)

The Connectome File Format (CFF) is a container format for multi-modal neuroimaging data. It comprises connectome objects of type: CMetadata, CNetwork, CVolume, CSurface, CTrack, CScript, CData, CTimeseries, CImagestack. The Python library cfflib provides read/write functionality.

Specifications

Category:File Format
License:BSD License
Diagnosis:Autistic Disorder
Domain:MR
Intended Audience:End Users
Programming Language:Python
Supported Data Format:GIfTI, NIfTI-1, Other Format, PDF - Portable Document Format

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PubMed Mentions documentation

Tools for knowledge acquisition within the NeuroScholar system and their application to anatomical tract-tracing data. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

The DIADEM data sets: representative light microscopy images of neuronal morphology to advance automation of digital reconstructions. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

Matching spatial with ontological brain regions using Java tools for visualization, database access, and integrated data analysis. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

A broadly applicable 3-D neuron tracing method based on open-curve snake. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

The DIADEM metric: comparing multiple reconstructions of the same neuron. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

Automated reconstruction of neural tissue and the role of large-scale simulation. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

Automated tracing of neurites from light microscopy stacks of images. posted by Nina Preuss on Dec 16, 2017

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PubMed Mentions documentation

High-accuracy neurite reconstruction for high-throughput neuroanatomy. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data. posted by Nina Preuss on Dec 16, 2017