CANDLE specifications


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


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  • person_outline Pierrick Coupe <>

Additional information

CANDLE is available as an ImageJ JAVA plug-in at:

Publication for Collaborative Approach for eNhanced Denoising under Low-light Excitation

CANDLE 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
CANDLE 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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