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Check out our newest preprint on Deep Learning-based MRI lung segmentation spearheaded by Benedikt Mairhörmann and Alejandra Castelblanco together with Anne Hilgendorff to aid clinical decision-making for the most vulnerable patient group - prematurely born infants. medrxiv.org/content/10.110…

It's great to be involved in developing such an useful and intuitive tool. Looking forward to further work on it and enable users to generate high-quality cell cycle datasets in no time!

The #CellACDC team wishes you a great 2022 with the release of Cell-ACDC v1.2.2, the first release with full support for macOS users, including #BioFormats! We released a bunch of new cool features, like the magic wand, perfect for the segmentation of fluorescent images!

Why not invite authors to join a virtual paper discussion? Last year, Tingying Peng’s group and mine developed a new journal club format: Read & Meet (the Author). THX Gabriele Campanella Michał Januszewski Maria Vittoria Barbarossa Paris Perdikaris Peter Horvath Navid Alemi et al. for joining! 1/2

Explore our new tool for CyroET membrane protein picking developed by Lorenz Lamm

Since the user base is now increasing, we decided to start a series of tweets where we share tips and tricks for using our #BioImageAnalysis software #CellACDC. Tip nr. 1: the Power brush! ⚡️ Thread 👇🧵

Are you curious to try the new Segment Anything Model by @MetaAI on microscopy images? We just added it to our #BioImageAnalysis software #CellACDC. As per all the models, Cell-ACDC will automatically install and download the model and generate the GUI widget for the parameters!

Do you want to try TAPIR, the new tracker by @DeepMind, on microscopy data? We just released it in our #BioImageAnalysis software #CellACDC (no code required) 🥳! At the moment only if you install from source, but it will be released on PyPi soon. Let's see what it is capable of:

🚀 FIRST-EVER Marr & Peng Lab Hackathon in beautiful Oberammergau! 👩‍💻 Was a great time to kickstart some promising projects 🥳 thanks to all the participants, especially co-organizers Benedikt Mairhörmann Rushin Gindra and of course carsten marr and Tingying Peng for making it all possible!

#AI-driven MRI descriptors can serve as markers of lung disease in neonates doi.org/10.1148/ryai.2… Anne Hilgendorff Alejandra Castelblanco Benjamin Schubert #PedsRad #neonate #ML

1/7 How do 1000s of small genetic changes cause complex diseases? The core gene model helps to explain and we developed a novel method base on graph neural networks to identify core genes for 5 groups of complex diseases. rdcu.be/dqz5x

Excited to introduce DinoBloom🦖🌺, an open-source foundation model family (Vit-S to G) for general cell embeddings in #hematology🩸 Trained w mod. #DINOv2 on 13 datasets w 380,000+ WBC images of blood & bonemarrow. Evaluated on AML subtype & cell classification (knn, lin probe)

A long-awaited new feature in our #BioImageAnalysis software #CellACDC is finally out! You can now easily export to video directly from the GUI. Select your preferences (contours, timestamp, scale bar etc.), click on Export, sit back and enjoy the process 😎

🚀🎉SpotMAX is now a proud community partner of BioImage.IO, the model zoo where you can find awesome pre-trained segmentation models! PS: You won't get the fireworks on the BioImage.IO website but feel free to request them on the SpotMAX GUI 😎