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Publication Detail
ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy
  • Publication Type:
    Working discussion paper
  • Authors:
    Chamier LV, Laine R, Jukkala J, Spahn C, Krentzel D, Nehme E, Lerche M, Hernández-Pérez S, Hernández-Pérez S, Mattila P, Karinou E, Holden S, Solak AC, Krull A, Buchholz T-O, Jones M, Royer L, Leterrier C, Shechtman Y, Jug F, Heilemann M, Jacquemet G, Henriques R
  • Publication date:
    20/03/2020
  • Status:
    Published
Abstract
The resources and expertise needed to use Deep Learning (DL) in bioimaging remain significant barriers for most laboratories. We present https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki , a platform simplifying access to DL by exploiting the free, cloud-based computational resources of Google Colab. https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki allows researchers to train, evaluate, and apply key DL networks to perform tasks including segmentation, detection, denoising, restoration, resolution enhancement and image-to-image translation. We demonstrate the application of the platform to study multiple biological processes.
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Lab for Molecular Cell Bio MRC-UCL
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Lab for Molecular Cell Bio MRC-UCL
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