How can we use foundation models such as (micro)SAM to improve electron microscopy segmentation? Check out our new preprint where we found substantial improvements for nucleus, mito, and neurite-segmentation based on initialization and semi-supervised learning with foundation models.
Anirban Ray
@anirbanray.bsky.social
PhD Student working on bioimaging inverse problems with @florianjug.bsky.social at @humantechnopole.bsky.social + @tudresden.bsky.social | Prev: computer vision Hitachi R&D, Tokyo. 🔗: https://rayanirban.github.io/ Likes 🏸🏋️🏔️🏓 and ✈️
There are lots of exciting opportunities to join the in situ structural biology community at Leeds this Autumn - 2 studentships in the Cheney PhD program (astbury.leeds.ac.uk/cheney-phd/) and I am recruiting a PhD student and research assistant. Please share and send any future tomographers our way!
Cheney Scholarship PhD Programme : The Astbury Centre for Structural Molecular Biology - "Understanding Life in Molecular Detail"
Applications are open for 2 PhD student places. Closing date for applications is Thursday 26 June, 5pm. Interviews will be held on 9th July 2026. The Cheney Scholarship is a prestigious 4-year PhD pr...
astbury.leeds.ac.uk
Super excited to be in Denver this week, presenting our HazeMatching (github.com/juglab/HazeM...) at #CVPR2026 (Findings) and at the #CV4Science Workshop (sites.google.com/nyu.edu/comp...). Please drop by if you're attending 😀 😇.
HazeMatching has been accepted to #CVPR2026 (Findings)! @cvprconference.bsky.social 🎉🎉 What if widefield microscopes could produce confocal-quality images? We introduce a Guided Conditional Flow Matching (CFM) framework that does exactly that. Learn more here: www.linkedin.com/feed/update/...
🔬 One more year! BioImage Computing has been accepted to @eccv.bsky.social 🎉 Show us your work at the intersection of computer vision, ML & biology! Check out our speaker lineup: @arratemunoz.bsky.social, @jakobtroidl.bsky.social & Juliette Griffié 👏 ⏳ Deadline: 13 July ℹ️ www.bioimagecomputing.com
BioImage Computing
a truly interdisciplinary workshop
bioimagecomputing.com
💡 Introducing the Multimodal #AI Across Scales Research Programme with our @florianjug.bsky.social 🤖 The new HT Programme develops open, uncertainty-aware AI tools to connect biological data from molecules and cells to patients and populations. humantechnopole.it/en/news/intr...
Introducing the Multimodal AI Across Scales Programme with Florian Jug - Human Technopole
The new Multimodal AI Across Scales Research Programme, within Human Technopole's Computational Biology Research Centre, develops AI methods that connect biological data across modalities and scales, ...
humantechnopole.it
Am I famous now?!? 😉 Jokes aside… I am stoked to start this new research direction with some of the most amazing scientists I know! What a team we already are… and… it will only get better from here!!! ❤️
💡 Introducing the Multimodal #AI Across Scales Research Programme with our @florianjug.bsky.social 🤖 The new HT Programme develops open, uncertainty-aware AI tools to connect biological data from molecules and cells to patients and populations. humantechnopole.it/en/news/intr...
🔬 What if one fluorescence image could reveal several cellular structures at once? 🤖 Our @florianjug.bsky.social Group developed Micro𝕊plit, an #AI tool published in @natmethods.nature.com that helps split overlapping microscopy signals. Read more 👉 humantechnopole.it/en/news/when...
When less is more: optimising fluorescence microscopy with Micro𝕊plit - Human Technopole
Researchers at Human Technopole have developed a novel machine learning-based method that transforms composite fluorescence microscopy images with overlapping signals into separate images revealing in...
humantechnopole.it
Super excited to share that HazeMatching (arxiv.org/abs/2506.22397) has also been selected for presentation at the 3rd CV4Science Workshop (sites.google.com/nyu.edu/comp...) at #CVPR2026 🎉. It’s great to see growing interest from the community in the role of generative models for inverse problems.
This link will take you to a page that’s not on LinkedIn
lnkd.in
HazeMatching has been accepted to #CVPR2026 (Findings)! @cvprconference.bsky.social 🎉🎉 What if widefield microscopes could produce confocal-quality images? We introduce a Guided Conditional Flow Matching (CFM) framework that does exactly that. Learn more here: www.linkedin.com/feed/update/...
New paper! We analyze proximal preconditioned gradient methods that extend Muon/Scion to handle nonconvex constraints (Stiefel manifold, spectral sphere, norm balls, ...) with convergence guarantees under heavy-tailed noise + variance reduction w/ STORM! arxiv.org/abs/2605.11850
My first blog post in over a year is a deep dive on flow maps🗺️, or how to learn the integral of a diffusion model to enable faster sampling and several other cool tricks. It's the longest one yet👀 Let me know what you think! sander.ai/2026/05/06/f...
Learning the integral of a diffusion model
A deep dive on flow maps.
sander.ai
It is finally out there in published form. 🎉 #MicroSplit (with an 𝕊) #Microscopy 🔬 #AI 🤖 www.nature.com/articles/s41... And no paywall... so... enjoy the read! 💸 👋 This is where the post could end... but I will have to go on for a bit below... 😉 🧵
My PhD thesis manuscript will be available in the coming months, but I’ve written two blog posts based on the related work chapter: 1. Generative modeling with flow-based models 🪚 2. Data-translation with flow and diffusion bridges 🔨 Open to feedback and discussions! lebellig.github.io/blog/
Interested in stochastic tissue morphodynamics in development and disease? Join us at HT @humantechnopole.bsky.social We are recruiting a postdoc for a project combining image analysis, morphometrics, and modelling in collaboration with experimentalists. More information: tinyurl.com/3kc7s4rz
Postdoc Pönisch Lab
Postdoc Pönisch Lab
careers.humantechnopole.it
We are hiring a Software Engineer who can help us turn our methods into easily usable tools for: * Explainable AI * Cell Tracking * Interactive Learning ...and some more: careers.humantechnopole.it/job/Research... Feel free to reach out directly if you are interested and/or have questions!
Research Software Engineer
Research Software Engineer
careers.humantechnopole.it
🚨🚨🚨JOB ALERT🚨🚨🚨 The Image Analysis Unit at Human Technopole in Milan is recruiting for two positions to join our growing team: 1) Bioimage Analyst 2) Research Software Engineer (RSE) Read on to learn why one of these two people should be you!
We've spent the last year building something at @humantechnopole.bsky.social that we think is genuinely needed: #AI that works across biological scales and data modalities, not just within them. A thread on what we're doing, why, and who we're looking for. A 🧵... 1/9
🚨Job Alert -- again!🚨 You are into disease risk prediction based on images or other data modalities? This is for you! 🫵 careers.humantechnopole.it/job/Postdoc-... Part of our Scientific AI Flagship @humantechnopole.bsky.social and part of our mission to benefit society via biomedical #AI solutions.
Postdoc on Multimodal AI for Disease Risk Prediction
Postdoc on Multimodal AI for Disease Risk Prediction
careers.humantechnopole.it
🚨 We are hiring! Personally, I think this is a fantastic job, good salary, and fun work place with exceptional colleagues. ⚠️ Warning, I’m quite biased… but still right! 😜 Join us! Apply!!! 🎉 careers.humantechnopole.it/job/AI-Exper...
Super excited to present our poster (rayanirban.github.io/files/EMBL_p...) on HazeMatching and ResMatching at the EMBL AI and Biology Symposium 2026 in Heidelberg, Germany, this week. 🎉 If you’re around, please drop by our poster (#148 on Thursday, 12/3)! 😊 @embl.org #EESAIBio #AI4Science
Update: ResMatching has been selected for an Oral Presentation at IEEE ISBI 2026! #ISBI2026! 🚀 😱 🎉 Being chosen for the oral track is a fantastic validation of the potential impact of this research. Thanks to the reviewers and organizers.
ResMatching accepted to IEEE ISBI 2025🎉. We extend Guided CFM to Computational Super-Resolution under extreme noise, achieving SOTA performance and calibrated posterior sampling that reflects uncertainty in real data. Learn more here: www.linkedin.com/posts/anirba...
HazeMatching has been accepted to #CVPR2026 (Findings)! @cvprconference.bsky.social 🎉🎉 What if widefield microscopes could produce confocal-quality images? We introduce a Guided Conditional Flow Matching (CFM) framework that does exactly that. Learn more here: www.linkedin.com/feed/update/...
#cvpr2026 #cvpr2026 #microscopy #imagerestoration #generativeai #ai4science | Anirban Ray
🎉Excited to share that HazeMatching (https://lnkd.in/dP5kWAHS) has been accepted to IEEE/CVF #CVPR2026 (Findings)🎉. 🔬What if widefield microscopes produced confocal-quality images? We introduce Haze...
linkedin.com
We opened 4 PhD positions at @humantechnopole.bsky.social together with Polimi (see 👇). My lab offers a PhD project on "Computational Morphogenesis": use state-of-the-art machine learning methods together with realistic simulations to build digital twins of developing tissue. Apply by March 26.
🎓 How can #AI and #datascience unlock new insights into human health? 📊 We’re offering 4 #PhD positions through Polimi’s DADS Programme in the groups of Emanuele Di Angelantonio, Francesca Ieva, @janfunkey.bsky.social and Fernanda Pinheiro. Apply by 26 March 👉 humantechnopole.it/en/news/4-ph...
Exciting news! An article on India BioImaging (IBI) has been published in "Microscopy and Analysis" (@wileylifesci.bsky.social )(Issue 2/2026) Featured under "Building the India Bioimaging Community," it highlights IBI's vision, activities & growing impact in strengthening bioimaging across India.
Excited to share our new paper (CVPR 2026 🚀): "MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy" which enables local predictions to use global context. Great work led by @albertdm.bsky.social & another fun collab w @gioelelamanno.bsky.social! @scadsai.bsky.social
It was super cool to hear @alex-krull.bsky.social talking about his research at @humantechnopole.bsky.social. Alex never fails to inspire his audience 🫠🤩
Excellent talk by Matteo Hessel from Google DeepMind at @humantechnopole.bsky.social earlier today! Thanks for dropping by and infecting us with the Meta-RL bug!
ResMatching accepted to IEEE ISBI 2025🎉. We extend Guided CFM to Computational Super-Resolution under extreme noise, achieving SOTA performance and calibrated posterior sampling that reflects uncertainty in real data. Learn more here: www.linkedin.com/posts/anirba...
#isbi2026 #generativeai #flowmatching #computationalsuperresolution #bioimageanalysis | Anirban Ray
Excited to share that ResMatching (https://lnkd.in/dn_6VB9Q) has been accepted to IEEE International Symposium on Biomedical Imaging (ISBI) 2026! 🎉🎉 This work represents a significant step forward in...
linkedin.com
Residual connections are adopted in virtually every deep learning model. BUT, can we further improve it? Hyper-connections is an exciting recent exploration to generalize residual connections. Check out the video explaining manifold constraints hyper-connections! youtu.be/jYn_1PpRzxI
How Residual Connections Are Getting an Upgrade [mHC]
YouTube video by Jia-Bin Huang
youtu.be
📖 We put together with Mike Davies a review of self-supervised learning for inverse problems, covering the main approaches in the literature with a unified notation and analysis. arxiv.org/abs/2601.03244
Self-Supervised Learning from Noisy and Incomplete Data
Many important problems in science and engineering involve inferring a signal from noisy and/or incomplete observations, where the observation process is known. Historically, this problem has been tac...
arxiv.org