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@VirginieUhlmann
and Matthew Hartley start with an introduction to and how extracting meaningful information from images is challenging but possible thanks to methods
@EBItraining

The virtual course Microscopy data analysis: machine learning and the @BioimageA has started today! Dive into public bioimaging data resources and ML-based analysis. Looking forward to an enriching learning experience! 🔬 @EBItraining

The BioImage Model Zoo (@bioimageio) is now a proud Community Partner of the Image.sc forum. Check out this post by @cfusterbarcelo to learn more!

ai4life.eurobioimaging.eu/the-

Group of students at the @NEUBIAS_ Defragmentation Training School use a pre-trained confocal model from @bioimageio for the segmentation of zebrafish embryos. What a way to take image analysis to the cloud!

On the second day of the @NEUBIAS_ Symposium, Matthew Hartley discusses the importance of metadata associated with image annotations and the plans of @BioimageA to host them

The Open Source Software Lounge is still ongoing at the @NEUBIAS_ Symposium. Two rooms full of researchers discussing tools with developers. And we have stickers! @ilastik_team @EuroBioImaging @deepImageJ

Johannes Roos presents Arkitekt, an software to help users simplify their complex quantitative microscopy workflows in real-time. Embrace the era of ! 🖥️🔬@NEUBIAS_

Analyzing complex images of synthetic materials like nanoparticles is crucial for drug delivery advancements. @crisleft_ uses to assess nanoparticles characterization and classification for diverse applications 🔬 @NEUBIAS_ Symposium

Ko Sugawara shows how training with sparse annotations can produce practical models for cell image segmentation. Strategic selection of annotated cells boosts performance! @ELEPHANT_track @NEUBIAS_ Symposium 🧪🔍

@cppape presents Segment Anything Model (SAM) for interactive microscopy segmentation at the @NEUBIAS_ Symposium

@gomez_mariscal takes the stage at the @NEUBIAS_ Symposium to share insights on @deepImageJ , and the revolution of models with @bioimageio!

🎙️ Excited to have @IgnacioArganda at the @NEUBIAS_ Symposium! He shows the potential of BiaPy, an open-source, all-in-one library for deep-learning-based bioimage analysis 🧪🔬

The AI4Life session just started at the @NEUBIAS Symposium! 🌟🔬 Joining us are top-notch speakers who will unravel the magic of AI in

Time to "work on your own data" after the didactic presentations by Félix Mercier and @IgnacioArganda about and on the : Classification & Segmentation. Hope the trainees are motivated to try these methods! @EoscLife @ImHorPhen

And kicks in at @NEUBIAS_ Defragmentation Training School! 90 mins of training on zero code tools for by @DanielSage_ @gomez_mariscal

The first very intense day of the @NEUBIAS_ Defragmentation Training School comes to an end with Petr Walczysko, who shows us how to perform image analysis using @CellProfiler in a Jupyter notebook using @IDRnews data 🔬

The @NEUBIAS_ Defragmentation Training School has already started with Kota Miura introducing Bioimage Analysis, because in sushi and in image analysis, choosing the right tool is important!

@EoscLife

📢 Open Call update: We received 72 applications!!! Our team is carefully analyzing them and is thrilled to see the diverse range of needs and fields.

Check out our website for a summary and updates on the following steps: ai4life.eurobioimaging.eu/outc

Thank you for your participation!

Dominik Kutra is showcasing AI4Life 🦒 and @bioimageio at the and European Open Science Cloud meeting, highlighting the potential of in 🔬 Can't wait for the coffee break to discuss further! ☕️

⏰ Last call! The AI4Life Open Call deadline is TODAY at noon UTC. Submit your application now and get support with Deep Learning for your image data analysis:

ai4life.eurobioimaging.eu/firs

@EC_REA

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