Albert Dominguez Mantes
PhD student @ EPFL in computer vision for microscopy | Prev Data Science @ UPC
- 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 :)
- We moved the AI@MBL course "Deep Learning for Microscopy Image Analysis" to HHMI Janelia (@hhmijanelia.bsky.social). Join us for two weeks of intense lectures, exercise, and hands-on project work! Course dates: June 4-18 2026 Application by: January 15 2026 www.janelia.org/you-janelia/...
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- 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!
- Amazing talk by my dear colleague and friend @albertdm.bsky.social and his supervisor @maweigert.bsky.social showing the cool things you can do with Spotiflow at #CBIAS2025. Look at this beautiful learned spot detection in 3D! 👩🏻💻👩🏻💻🔬 #bioimageanalysis #spotdetection
- Reposted by Albert Dominguez MantesWe’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...
- Reposted by Albert Dominguez Mantes🧠 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/...
- Reposted by Albert Dominguez MantesYou 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)
- Reposted by Albert Dominguez MantesHappy 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)
- Reposted by Albert Dominguez Mantes(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...
- Reposted by Albert Dominguez MantesHappy 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
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- Reposted by Albert Dominguez MantesCell 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!
- Do you like developing new AI vision methods for microscopy image analysis? You love theory & implementation? 1 week left to apply for a fully funded PhD position in our lab in Dresden 🇩🇪! Topics: object detection/tracking, multimodal models & more. DM/email for details! #PhD #AcademicJobs #GPUsgoBrr
- Reposted by Albert Dominguez MantesOut 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
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- Spotiflow, our deep learning based spot detection method for microscopy, is now published in @natmethods.nature.com! Since the pre-print, we have added many features, notably native 3D detection! @maweigert.bsky.social @gioelelamanno.bsky.social @epfl-brainmind.bsky.social Paper: rdcu.be/epIB7 (1/N)
- Given an image or volume, Spotiflow uses a neural network to predict multiscale Gaussian heatmaps and the “stereographic flow” — a smooth embedding that maps the nD nearest-spot vector field to the (n+1)D sphere, avoiding issues at infinity and enabling precise localization (2/N)
