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

April 2021 Nat Commun

Synopsis of Social media discussions

The discussions demonstrate strong support for the article through examples like multiple posts praising its accessibility and collaborative development, and references to practical use cases such as testing microscopy datasets with the platform. The tone is positive and enthusiastic, emphasizing the platform's potential to democratize deep learning for microscopy and its importance across laboratories worldwide.

A
Agreement
 Moderate agreement

Most discussions express praise and support for the publication, highlighting its collaborative effort and usefulness, indicating strong agreement.

I
Interest
 High level of interest

Participants show high interest, with many posts sharing enthusiasm, excitement, and active engagement with the platform and its applications.

E
Engagement
 Moderate level of engagement

The discussions include references to datasets, implementation, and collaborative efforts, demonstrating thoughtful and active participation.

I
Impact
 High level of impact

The widespread recognition, acknowledgments of the collaborative nature, and calls-out to the platform's accessibility suggest a high perceived impact.

Social Mentions

YouTube

2 Videos

Facebook

3 Posts

Twitter

94 Posts

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3 Articles

News

12 Articles

Metrics

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50

Total Likes

26

Extended Reach

215,904

Social Features

114

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Posts referencing the article

Accessible Deep Learning for Microscopy Using ZeroCostDL4Mic

Accessible Deep Learning for Microscopy Using ZeroCostDL4Mic

ZeroCostDL4Mic is a user-friendly platform that makes deep learning for microscopy accessible by leveraging free Google Colab cloud resources. It allows researchers without coding skills to train and apply AI models for various biological imaging tasks, simplifying complex deep learning processes.

STEM RTCL TV

April 9, 2023

32 views

Making Deep Learning in Microscopy Accessible with ZeroCostDL4Mic

Making Deep Learning in Microscopy Accessible with ZeroCostDL4Mic

ZeroCostDL4Mic is a user-friendly platform that makes deep learning for microscopy accessible by leveraging free cloud resources via Google Colab. It allows researchers without coding skills to train and apply AI models for various biological imaging tasks.

STEM RTCL TV

June 28, 2023

18 views

  • 笹川 薫
    @Deep_Learn_KS (Twitter)

    RT @HenriquesLab: #ZeroCostDL4Mic is out today! A beautiful joint effort of 12 laboratories across 2 continents to make #DeepLearning for #…
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  • Beth Cimini Lab
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    @RetoPaul They did do one reference to it (the one below), but agree, impossible to name all the DL based tools these days! https://t.co/duu2UBFetn
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    September 20, 2022

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  • Virginia Albarracin (#LaAlbarracineta)
    @virkinal (Twitter)

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  • Ricardo Henriques
    @HenriquesLab (Twitter)

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    July 11, 2022

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  • Christoph Spahn
    @miCHRIScopy (Twitter)

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  • Archive ouverte AMU
    @HAL_AMU (Twitter)

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Abstract Synopsis

  • ZeroCostDL4Mic is a user-friendly platform that makes deep learning for microscopy accessible by using free cloud resources via Google Colab, eliminating the need for powerful local hardware.
  • It enables researchers without coding skills to train and use various AI models for tasks like image segmentation, object detection, denoising, superresolution, and image translation in biological studies.
  • The platform also provides tools to evaluate and optimize the performance of these models, helping researchers improve their results while simplifying complex deep learning processes.]