ZeroCostDL4Mic

ZeroCostDL4Mic is a collection of self-explanatory Jupyter Notebooks for Google Colab that features an easy-to-use graphical user interface. They are meant to quickly get you started on learning to use deep-learning for microscopy. Google Colab itself provides the computations resources needed at no-cost. ZeroCostDL4Mic is designed for researchers that have little or no coding expertise to quickly test, train and use popular Deep-Learning networks.

🔗Source-Code Repository

Main publication:

Other publications using resource:

BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis
Wei Ouyang, Fynn Beuttenmueller, *Estibaliz Gómez-de-Mariscal*, Constantin Pape, Tom Burke, Carlos Garcia-López-de-Haro, Craig Russell, Lucía Moya-Sans, Cristina de-la-Torre-Gutiérrez, Deborah Schmidt, Dominik Kutra, Maksim Novikov, Martin Weigert, Uwe Schmidt, Peter Bankhead, Guillaume Jacquemet, Daniel Sage, *Ricardo Henriques*, Arrate Muñoz-Barrutia, Emma Lundberg, Florian Jug, Anna Kreshuk
Published in bioRxiv, June 2022 (see preprint)
Research themes: New Methods, Software
Type: Preprint
Democratising deep learning for microscopy with ZeroCostDL4Mic
*Lucas von Chamier*, *Romain F Laine*, Johanna Jukkala, *Christoph Spahn*, Daniel Krentzel, Elias Nehme, Martina Lerche, Sara Hernández-Pérez, Pieta K Mattila, Eleni Karinou, Séamus Holden, Ahmet Can Solak, Alexander Krull, Tim-Oliver Buchholz, Martin L Jones, Loïc A Royer, Christophe Leterrier, Yoav Shechtman, Florian Jug, Mike Heilemann, Guillaume Jacquemet, *Ricardo Henriques*
Published in Nature communications, April 2021 (see publication)
Research themes: New Methods, Software
Type: Paper, Corresponding author