The BioImage Analysis Unit designs innovative computational methods to address challenging biological questions through rigorous quantitative approaches #Icy

Joined March 2020
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3 Jan 2025
Dear all, we and many others from the bioimaging community have moved to Bluesky! You can now find and follow us @biaunit.bsky.social See you soon & Happy New Year !!
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THE CELL TRACKING CHALLENGE 2nd Call for Cell Linking Submissions Deadline: Dec 1st, 2024 More info: celltrackingchallenge.net/ct…

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10 Sep 2024
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Watch out! Two of them are published in the latest issue of @naturemethods 🚀Omega: nature.com/articles/s41592-0… 🤖bioimage.io chatbot: nature.com/articles/s41592-0… Warming up! ☀️☀️☀️
5 Aug 2024
First topic of @GloBIAS_ BIA seminar series 🔬💻📊🚀 Large Language Models for Bioimage Analysis: Exploring how emerging AI technologies can be applied to enhance image analysis tasks globias.org/activities/bia-s… Register at: docs.google.com/forms/d/e/1F… #Bioimage_Analysis #AI #LLMs
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10 Aug 2024
🔬 Here are confocal micrographs of amoebae loaded on Fibronectin-coated glass or non-coated glass and labelled for F-actin 💡 👉 We show that E. histolytica adopts a fan-shape morphology on a Fibronectin substrate ‼️ journals.plos.org/plospathog…
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Now available on Scientific Reports nature.com/articles/s41598-0…
4 Oct 2023
Hanson A, Reme R, Telerman N, Yamamoto W, Olivo-Marin JC, Lagache T, & Yuste R. Automatic monitoring of whole-body neural activity in behaving Hydra. bioRxiv, 2023-09. An open-source platform to monitor neurons’activity in behaving Hydra. #Hydra #Byotrack #TraseIn #Python #Icy
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Out last week from the Tinevez and Olivo-Marin labs! JDLL: a library to run deep learning models on Java bioimage informatics platforms. This is sure to streamline deployment of DL models in bioimaging. nature.com/articles/s41592-0…
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Super proud of this work and it was done with awesome colleagues. Let's now put this tool to good use!
Out last week from the Tinevez and Olivo-Marin labs! JDLL: a library to run deep learning models on Java bioimage informatics platforms. This is sure to streamline deployment of DL models in bioimaging. nature.com/articles/s41592-0…
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Thrilled to announce our latest paper, 'JDLL' is now published in @NatureMethods! A perfect start to the New Year 🥳 and a fantastic gift from the Reyes Magos! 🌟 Check it out here: rdcu.be/dvqwn Happy Reading & Happy New Year to all! 📚🎆 @Icy_BioImaging @deepImageJ

🎉Exciting news! The @Icy_BioImaging team, along with @deepImageJ, is thrilled to announce the release of the 𝗝𝗮𝘃𝗮 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 (𝗝𝗗𝗟𝗟), the new open source core library for #DeepLearning model inference in imaging! 🤖
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Coming soon to @Icy_BioImaging ... Run #stardist on your images without code using the Bioimage.io models.💥💥 Thanks to #JDLL and #appose, we're bringing the power of Deep Learning and Python to the easy-to-use Java world. Much more is coming!
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Replying to @Icy_BioImaging
(Taken from the BioEngine website.)
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4 Oct 2023
Tracking Intermittent Particles with Self-Learned Visual Features. R Reme, V Piriou, A Hanson ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5 Using visual features for single-particle tracking in fluorescence imaging. #Hydra #Byotrack #Python #icy
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4 Oct 2023
Hanson A, Reme R, Telerman N, Yamamoto W, Olivo-Marin JC, Lagache T, & Yuste R. Automatic monitoring of whole-body neural activity in behaving Hydra. bioRxiv, 2023-09. An open-source platform to monitor neurons’activity in behaving Hydra. #Hydra #Byotrack #TraseIn #Python #Icy
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🔜Next @BCI_Pasteur seminar this Tuesday Aydogan Ozcan @InnovateUCLA from @UCLAengineering Deep Learning-enabled Computational Microscopy and Diffractive Imaging Invited by @BiaUnit
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16 Jun 2023
Following Jean-Yves’ inspiring testimonial @jytinevez, I’m pleased to share some backstory chapters of the JDLL project! While the idea had been brewing in our minds for quite some time, it truly gained momentum during my UC3M Chair of Excellence stay at Arrate's lab @ArrateMunoz in Madrid in fall 2021. It was a stimulating period as Estibaliz @gomez_mariscal had just read her PhD thesis, and their remarkable deepImageJ @deepImageJ paper had been published in Nature Methods, acting as a catalyst for the Icy team to channel their time and energy into deepIcy. We were fortunate that Carlos @carlosg91018370, a talented developer with a wealth of experience in deepImageJ, was both available and keen on pushing the boundaries of Java libraries for deep learning in bioimaging. Collaborating with Stéphane, they embarked on a complete redesign of the initial deepIcy @deepIcy_IP prototype that would become JDLL, incorporating cutting-edge advancements in Java/Python interfaces and more. Now, the rest of the story is in your hands, as we present you with the tools to shape the future of deep learning for bioimaging data analysis. Be creative and have fun! Jean-Christophe
Quick personal story thread about this work - A few years ago we were working with Jean-Christophe on a prototype of Icy3. We wanted to get closer to the ImageJ ecosystem, and in particular join the community effort in making Deep-Learning easily accessible to biologists.
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Quick personal story thread about this work - A few years ago we were working with Jean-Christophe on a prototype of Icy3. We wanted to get closer to the ImageJ ecosystem, and in particular join the community effort in making Deep-Learning easily accessible to biologists.
🎉Exciting news! The @Icy_BioImaging team, along with @deepImageJ, is thrilled to announce the release of the 𝗝𝗮𝘃𝗮 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 (𝗝𝗗𝗟𝗟), the new open source core library for #DeepLearning model inference in imaging! 🤖
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Official release on Monday 😅
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