AI4Life @AI4Life@qoto.org

Looking for an engaging Friday read? Check out the comprehensive report by @gomez_mariscal in @focalplane_jcs, highlighting AI4Life's active participation at the 5th @NEUBIAS_ Conference:

https://focalplane.biologists.com/2023/05/26/ai4life-at-the-5th-neubias-conference/

@gomez_mariscal takes over from Dominik to perform #DeepLearning boosted instance #NucleiSegmentation with @deepImageJ and run superresolution models in @FijiSc, all of them available in @bioimageio 🦒

Dominik Kutra from @ilastik_team help trainees with #ImageSegmentation in ilastik, explore and discover the tools in the @bioimageio 🦒 and run the model zoo models in ilastik.

And now comes the hands-on session! How to look for a model in @bioimageio to segment Bacillus Subtilis bacteria? Can the model be downloaded and run? @gomez_mariscal teaches all this and more!

Time to dive into the world of bioimages and analysis resources at @emblebi. Matthew Hartley shows how to access/submit data in different ways at the @BioimageA and how important the metadata is for that matter! @EBItraining

And now we move to #DeepLearning! 🔥 @guijacquemet takes the stage for an insightful lecture on the usage of Deep Learning in Image Analysis #ImageAnalysis #MachineLearning #DeepLearning @EBItraining

@VirginieUhlmann
and Matthew Hartley start with an introduction to #ImageAnalysis and how extracting meaningful information from images is challenging but possible thanks to #MachineLearning 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! 🔬#BioimageAnalysis #MachineLearning @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!

https://ai4life.eurobioimaging.eu/the-bioimage-model-zoo-is-a-partner-in-image-sc/

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 #opensource software to help users simplify their complex quantitative microscopy workflows in real-time. Embrace the era of #SmartMicroscopy! 🖥️🔬@NEUBIAS_

Analyzing complex #SMLM images of synthetic materials like nanoparticles is crucial for drug delivery advancements. @crisleft_ uses #MachineLearning to assess nanoparticles characterization and classification for diverse applications #SuperResolution 🔬 @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 🧪🔍 #DeepLearning #BioimageAnalysis #CellSegmentation

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

@gomez_mariscal takes the stage at the @NEUBIAS_ Symposium to share insights on @deepImageJ #ZeroCostDL4Mic, and the revolution of #FAIR #DeepLearning 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 🧪🔬 #BioimageAnalysis #DeepLearning

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

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