CIDRE
Posted on 5 December 2019
CIDRE is an illumination correction method, developed by the Horvath lab, that can be applied retrospectively. All imaging systems suffer from uneven illumination and it is important to correct for these differences as they can impact downstream analyses leading to incorrect quantification. CIDRE works by building a model of image distortion directly from the images rather than requiring reference images, with larger datasets providing more robust correction. The method was published in Nature Methods in 2015.
Type of tool: Image analysis software
Resource Created By: Horvath Lab
Is this tool open source?: Yes
You may also be interested in
Open Chemistry: What if we just give everything away?
Dyes from Luke Lavis's lab at Janelia
Mastodon
Tracking and track-editing framework
SynapseNet: Deep Learning for Automatic Synapse Reconstruction
automatic synapse reconstruction and analysis in EM
Sarah Muth, Frederieke Moschref, Luca Freckmann, Sophia Mutschall, Ines Hojas-Garcia-Plaza, Julius N. Bahr, Arsen Petrovic, Thanh Thao Do, Valentin Schwarze, Anwai Archit, Kirsten Weyand, Susann Michanski, Lydia Maus, Cordelia Imig, Nils Brose, Carolin Wichmann, Ruben Fernandez-Busnadiego, Tobias Moser, Silvio O. Rizzoli, Benjamin H. Cooper, Constantin Pape