CANDLE specifications

Unique identifier:
OMICS_25878
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
C, Java, MATLAB, Python
Version:
1.02
Requirements:
ImageJ
Name:
Collaborative Approach for eNhanced Denoising under Low-light Excitation
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes

versioning

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No versioning.

CANDLE support

Documentation

Maintainer

  • Pierrick Coupe <>

Additional information

CANDLE is available as an ImageJ JAVA plug-in at: https://github.com/haiderriazkhan/CANDLE-J

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Credits

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Publications

Institution(s)

MNI, McConnell Brain Imaging Centre Montreal Neurological Institute, McGill University, Montreal, QC, Canada; LaBRI, Laboratoire Bordelais de Recherche en Informatique CNRS : UMR5800, Université Sciences et Technologies - Bordeaux I, Ecole Nationale Superieure d'Electronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Universite Victor Segalen - Bordeaux II, Talence, France; Instituto de Aplicaciones de las Tecnologias de la Informacion y de las Comunicaciones Avanzadas (ITACA) Universidad Politecnica de Valencia, Valencia, Spain; Montreal Neurological Institute McGill University, Montreal, QC, Canada

Funding source(s)

Supported by the Canadian Institutes of Health Research (CIHR, MOP-84360 and MOP-77567), Cda (CECR)-Gevas-OE016, a fellowship from the Deutscher Akademischer Austasch Dienst (DAAD) and a McGill Principal’s Award, a tier 2 Canada Research Chair, the Spanish Health Institute Carlos III through the RETICS Combiomed, RD07/0067/2001.

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