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
Fluorescent Biosensor Database
Community-editable database of biosensors
Eric Greenwald and the Jin Zhang lab at UCSD
DL4MicEverywhere
Framework for deep learning-enhanced bioimage analysis
Iván Hidalgo-Cenalmor, Joanna W. Pylvänäinen, Mariana G. Ferreira, Craig T. Russell, Alon Saguy, Ignacio Arganda-Carreras, Yoav Shechtman, AI4Life Horizon Europe Program Consortium, Guillaume Jacquemet, Ricardo Henriques & Estibaliz Gómez-de-Mariscal
The Microscopy and Microanalysis Facility Resource List
Resource list from a core at U of New Brunswick
Microscopy and Microanalysis Facility