CSBDeep
Posted on 4 December 2019
An open-source, deep-learning toolkit for microscopists focused on image restoration and segmentation. The website includes examples of the image restoration and segmentation capabilities and outlines the training data requirements. The tools available within CSBDeep include CARE, DenoiSeg, Noise2Void and StarDist.
Type of tool: Image analysis software
Resource Created By: Weigert M et al
Is this tool open source?: Yes
You may also be interested in
SIMcheck
ImageJ tools for assessing SIM data quality
Micron Oxford
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
CIDRE
A flatfield illumination correction method
Horvath Lab