Albert Dominguez Mantes

Very happy that MuViT, our (CVPR 2026!) work on learning across spatial scales in microscopy w transformers, is out! Check Martin's thread for a nice walkthrough :) Big thanks to my advisors @maweigert.bsky.social @gioelelamanno.bsky.social! 🖥️: github.com/weigertlab/muvit 📜: arxiv.org/abs/2602.24222

🚨🚨🚨 DEADLINE EXTENSION ALERT! 🚨🚨🚨 Great news 🧬💻 The submission deadline for the BioImage Computing (BIC) Workshop at @eccv.bsky.social is now July 20, 2026! We can't wait to see your latest research! 🔬👩‍💻👨‍💻 🚪 Submit: openreview.net/group?id=the... 🌐 Info: www.bioimagecomputing.com

BIC @eccv.bsky.social 2026 is OPEN! Show us your new CV, AI & Bio work🦠🔬 🚪: openreview.net/group?id=the... Thanks organisers for making it possible @alex-krull.bsky.social Peter Bajcsy @janfunkey.bsky.social @florianjug.bsky.social Qingjie Meng @virginieuhlmann.bsky.social @maweigert.bsky.social ✨

We work hard but also we have a lot of fun together @albertdm.bsky.social @edhirata.bsky.social #dljanelia2026

So lucky to have such brilliant friends doing an absolutely smashing job! Do check out MuViT by @albertdm.bsky.social and @maweigert.bsky.social , released at #CVPR2026 for multi-scale resolution images 🔬✨ #DLforBiology #DLJanelia2026 🐙: github.com/weigertlab/m... 📄: arxiv.org/abs/2602.24222

And so it begins! Day 1, Lecture 0 of the first DL for Microscopy Image Analysis course at @hhmijanelia.bsky.social. Slides from @florianjug.bsky.social, presented by our TA Federico Carrara. #dljanelia

Hello, world! We are starting a worker cooperative to build, maintain, teach, and support open source scientific imaging software. image.coop/blog/posts/2...

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

📣We’re back 🔬👀🖥️! #CBIAS2026 returns 23–24 November 2026: Join the bioimage analysis community to discuss advances in quantitative imaging & computational methods for image analysis. Great opportunity for early-career analysts & microscopists to present and connect. #CBIAS2026 #BioimageAnalysis

Last call! This is a great opportunity for those interested in learning and applying SOTA ML/DL models to microscopy data with the leading experts in the field. Personally super excited to be a lead TA along with the amazing @afoix.bsky.social and @edhirata.bsky.social! Hope to see you there :)

Now speaking #CBIAS2025 @albertdm.bsky.social from @maweigert.bsky.social introducing spotiflow www.nature.com/articles/s41...

Had a blast at #CBIAS2025! Great science (like the incredible ShapeEmbed talk from @afoix.bsky.social), amazing people and obviously tons of beautiful images :) Already looking forward to coming back next year!

We’ve upgraded ShapeEmbed 🎉 ShapeEmbedLite decodes latent codes via an MLP to guarantee valid EDMs, making it lighter and ideal for small microscopy datasets or limited compute. Hear more at my BIC workshop talk or poster at #ICCV2025! Try it out at github.com/uhlmanngroup...

🧠 The Lipid #Brain Atlas is out now! If you think #lipids are boring and membranes are all the same, prepare to be surprised. Led by @lucafusarbassini.bsky.social with Giovanni D'Angelo's lab, we mapped membrane lipids in the mouse brain at high resolution. www.biorxiv.org/cgi/content/...

You may have heard me talk about learned shape representations for a long time, but it took @afoix.bsky.social's hard work to bring it to life 🍾 Catch her at @neuripsconf.bsky.social to find out more!!

Happy to share that ShapeEmbed has been accepted at @neuripsconf.bsky.social 🎉 SE is self-supervised framework to encode 2D contours from microscopy & natural images into a latent representation invariant to translation, scaling, rotation, reflection & point indexing 📄 arxiv.org/pdf/2507.01009 (1/N)

(1/14) I’m happy and proud to introduce: SpinePy – a framework to detect the "spine" of gastruloids and measure biological and physical signals in a local dynamic 3D coordinate system. www.biorxiv.org/content/10.1...

Happy to share our work on uMAIA, a framework for building metabolomic atlases from mass spectrometry imaging. With uMAIA, we mapped the lipidome of zebrafish development, uncovering spatially organized metabolic programs . www.nature.com/articles/s41... #developmentalbiology #MSI #lipidtime

A new extension! Rémy made a wrapper of @albertdm.bsky.social + @maweigert.bsky.social 's Spotiflow (2/3) forum.image.sc/t/qupath-ext...

Cell tracking is never perfect, and it's important to understand the types of errors your solution contains. Here is my stab at this: Divisualisations in @napari.org. github.com/bentaculum/d... You spin tracks out upwards from the playing video. Green edges are correct, FP in magenta, FN in cyan.

Working in Martin’s group is an amazing experience, don’t hesitate to apply and reach out if you have any questions!

Out today in @natmethods.nature.com : Spotiflow, our transcript localization method for imaging-based spatial transcriptomics. Led by amazing PhD student @albertdm.bsky.social, joint work w @gioelelamanno.bsky.social at EPFL / @scadsai.bsky.social www.nature.com/articles/s41... rdcu.be/epIB7

A nice advance for imaging-based spatially resolved transcriptomics from the Weigert and La Manno labs. Spotiflow uses deep learning for subpixel-accurate spot detection in diverse 2D and 3D images. www.nature.com/articles/s41...

Get to know Spotiflow, an AI method that improves large-scale transcript localization by combining deep learning with a novel geometric detection approach. Learn more: 👉 scads.ai/transcript-d... Find the publication in Nature Methods: 👉 www.nature.com/articles/s41...

How can AI help you to analyze your microscopy images? Find out at the "Machine Learning for Microscopy Image Analysis" course at the @mblscience.bsky.social in Woods Hole from Aug 22-Sep 6! Applications are due 🚨 April 30 🚨 Read on for more! 👇 www.mbl.edu/education/ad...

🔬🎤 As pre-announced a few days ago... please let us proudly present to you: 𝑴𝒊𝒄𝒓𝒐𝕊𝒑𝒍𝒊𝒕 - your ticket to imaging more, imaging more gentle, and/or imaging more efficient. 🔬 doi.org/10.1101/2025... Like ❤️, repost 🔂, and most importantly... please send feedback ✉️ our way! 🙏