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ฅNya! Here's the latest 🗞 from [ Nature Methods ]: " InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping" 🔗: nature.com/articles/s4159…

Industry collaboration is key to real-world impact. ZEISS Group is a contributor of CAREamics, one of the BioImage.IO community partners. Also, BioImage.IO models can be applied right after image acquisition with ZEN API. We need more of that!

The AI4Life Community Event comes to a close. We wrapped up with a big-picture discussion around the sustainability of services and the role that AI4Life plays in the EOSC. Thank you to everyone who joined us in Helsinki and online! 🦒 Stay connected 💚

We introduce InterpolAI, an optical flow-based AI model to enhance 3D imaging (MRI, CODA, ssTEM, light sheet) Read about it here in our new NM paper: nature.com/articles/s4159…

Can a deep learning model know your data well enough to predict missing parts? InterpolAI accurately interpolates synthetic images between pairs of authentic images to “repair” tissue damage and reduce stitching artifacts across modalities. Denis Wirtz bit.ly/453o1i1

Beautiful😍(also the photo)+a pleasure seeing some faces and discussing around a more mature project🦒+EU infrastructure Time goes on and interestingly, need to enlarge our perspective to get the full picture each time we meet (also for the family photo😉) It's getting exciting!

Proud (ex-)supervisor & (always) mentor of AI4Life Team & friends egomezm Teresa Zulueta Coarasa; Daniel Franco-Barranco Caterina Fuster-Barceló (she/her) carlos Garcia Lopez de Haro

America's first large-scale indoor vertical farm for strawberries is set to open in Richmond, Virginia, in early 2025. Using 30-foot towers, it produces over 4 million pounds of strawberries annually on less than an acre of land. This innovative method reduces water use by 90%,

To fix input images in a stack for 3D imaging, use InterpolAI. InterpolAI removes tissue tears and stitching + photobleaching artifacts in stacks of ssTEM, MRI, light-sheet, or histological images (CODA). Read it here: nature.com/articles/s4159… GitHub: github.com/sjoshi17jhu/In…

Excited to share our work in Nature Methods! InterpolAI is a deep learning framework that uses optical flow to interpolate and restore missing or damaged biomedical images, allowing enhanced 3D maps across diverse imaging modalities. Read more: nature.com/articles/s4159…

If your stack of images is full of defects, don't panic! InterpolaAI, a deep learning-based optical flow method, will fix issue tears, photobleaching and sticking artifacts for improved 3D imaging. Read our paper in Nature Methods: nature.com/articles/s4159…

This work is part of the results from my sabbatical stay at Prof. Denis Wirtz’s lab at Johns Hopkins during the 2022–2023 academic year. Very grateful to have been part of this exciting collaboration—congrats to the team on the Nature Methods publication!

🌾 La IA llega al campo: Plantae desarrolla modelos predictivos para anticipar riego y mejorar cultivos con +10.000 sensores 📊🌱 Apoyo de UC3M y su Parque Científico. Agricultura más eficiente y sostenible 💧🤖 🔗uc3m.es/ss/Satellite/U…

My office for the day… Quite an honor, I must say…

📢 Meet the #SPAOM2025 Organizing Committee! From cutting-edge microscopy to vibrant scientific exchange, SPAOM 2025 promises to be an inspiring event — and it all starts with this incredible team. 👇 🗓️ Save the date and stay tuned! #Microscopy #Science #Bioimaging #SciCom

It is very hard to avoid tissue tear when sectioning brain samples for ssTEM imaging. The majority of sections have such defects. No worry, we can fix these defects using InterpolAI, as shown in our recent Nature Methods paper: nature.com/articles/s4159…

🎉 Muy orgullosos de nuestra directora de laboratorio ⁦Maria J. Vicent⁩ por haber recibido el Premio Rei Jaime I en Nuevas Tecnologias 👩🏼‍🔬🔬 Un reconocimiento más que merecido a su trayectoria y su compromiso con la ciencia ⚗️🧬 cadenaser.com/comunitat-vale…

Segment any MRI, CTscan, histology image using CODA using CODAvision. CODAvision enhances the usability of the CODA algorithm to automatically generating quantitative results and comprehensive reports. More here: biorxiv.org/content/10.110…

Image analysis starts before image acquisition, not after. Great talk by Estibaliz Gómez de Mariscal, PhD at #ELMI2025 showing how deep learning is pushing the limits of live cell imaging!

3D spatial multi-omic assessment of tumors is not a luxury, it is necessary. 2D assessments of tumors are simply insufficient. The whole field of spatial omics needs to move to 3D. Read this work here: cell.com/cell-reports-m…