PyKNOSSOS specifications

Information


Unique identifier OMICS_27974
Name PyKNOSSOS
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS
Programming languages Python
Computer skills Medium
Version 1.2.1
Stability Stable
Maintained Yes

Download


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Versioning


No version available

Documentation


Maintainers


  • person_outline Adrian Wanner
  • person_outline Rainer Friedrich

Publication for PyKNOSSOS

PyKNOSSOS citation

library_books

Different Modes of Visual Integration in the Lateral Geniculate Nucleus Revealed by Single Cell Initiated Transsynaptic Tracing

2017
Neuron
PMCID: 5330803
PMID: 28231464
DOI: 10.1016/j.neuron.2017.01.028

[…] g an approach originally developed for tracing neurons in 3D electron microscopy. Briefly, professional image annotators performed skeleton tracing in confocal image stacks using the tracing software PyKNOSSOS (Ariadne-service). First, confocal image stacks containing all ganglion cells in a given cluster were divided into cubes for dynamic data loading. Second, ganglion cell bodies were manually […]

PyKNOSSOS institution(s)
Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; University of Basel, Basel, Switzerland
PyKNOSSOS funding source(s)
Supported by the Novartis Research Foundation, the Human Frontiers Science Program (HFSP) and the Swiss National Science Foundation (SNF).

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