This was DL@MBL 2022, the Deep Learning for Microscopy Image Analysis course at the @MBLScience in Woods Hole!. Thanks to Anacris (IG: anacrispascual) for the video!. #dlmbl

Good news everyone: we extended the deadline for applications by two weeks until May 1st!.

We are looking forward to receiving your applications by April 17. Feel free to reach out to any of us with questions you might have!.

This year's faculty: Alexander Krull @sagzehn, Anna Kreshuk @ilastik_team, Carsen Stringer @computingnature, Florian Jug @florianjug, Jan Funke @janfunkey, Loïc A. Royer @loicaroyer, Martin Weigert @martweig, Shalin Mehta @mattersOfLight, and Virginie Uhlmann @VirginieUhlmann.

All you have to bring is a good understanding of python 🐍, enthusiasm to learn with fellow participants, sunscreen 🏖️, and. your own 🔬 data to work on!. 👉 Our TAs will help you in the second week of the course to apply what you learnt to your data!.

During 14 full days, we will have ample time for lectures, exercises, discussions, and project work. We will introduce you to deep learning and its applications to image denoising/restoration/translation, semantic and instance segmentation, object detection, tracking, and more!.

How can machine learning help you to analyze your microscopy images?. Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5!. Applications are due 🚨 April 17 🚨. Read on for more! 👇.

The BioImage Computing (BIC) workshop is open for submissions!. This year, BIC will be held at @ICCVConference in Paris, October 3. Accepted papers will be published in the ICCV proceedings. We accept submissions until July 21. More information here 👇.

RT @HHMIJanelia: 🔥 Today, researchers unveiled the connectome of the male adult fruit fly nerve cord. 🧠 With about 23K neurons, 10 millio….

We are looking forward to receiving your applications by May 18, and feel free to reach out to any of us with questions you might have!.

Meet this year's faculty: Alexander Krull @sagzehn, Anna Kreshuk @ilastik_team, Carsen Stringer @computingnature, David van Valen @davidvanvalen, Florian Jug @florianjug, Jan Funke @janfunkey, Loïc A. Royer @loicaroyer, Martin Weigert @martweig, and Shalin Mehta @mattersOfLight.

All you have to bring is a good understanding of python 🐍, enthusiasm to learn with fellow participants, sunscreen 🏖️, and. your own 🔬 data to work on!. 👉 Our TAs will help you in the second week of the course to apply what you learnt to your data!.

During 14 full days, we will have ample time for lectures, exercises, discussions, and project work. We will introduce you to deep learning and its applications to image denoising/restoration/translation, semantic and instance segmentation, object detection, tracking, and more!.

To make the course accessible to a wide range of participants from diverse labs, the course is again free of tuition (including travel ✈️and housing🏠). Many thanks to @HHMIJanelia and @HHMINEWS for their generous support! 🙏.

How can machine learning help you to analyze your microscopy images?. Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5!. Applications are due 🚨 May 18 🚨. Read on for more! 👇.

RT @naturemethods: Auxiliary learning via prediction of local shape descriptors increases the efficiency of segmentation of neurons in elec….

We are already excited to plan the next DL@MBL, which is tentatively scheduled for August 20 through September 4 2023. More about next year's course soon! :).

This was a blast, so much Deep Learning that by the end of the course we all thought of ReLUs when seeing Woods Hole's drawbridge opened ;)

. Estibaliz Gómez de Mariscal @gomez_mariscal, Matheus Viana, Valentyna Zinchenko @vnzinchenko, and Steffen Wolf @Steffen_RXTX!.

Huge thanks also to all faculty who joined us this year: Florian Jug @florianjug, David van Valen @davidvanvalen, Alexander Krull @sagzehn, Shalin Mehta @mattersOfLight, Anna Kreshuk @ilastik_team, Carsen Stringer @computingnature, Martin Weigert @martweig, . .