Martin Weigert

Martin Weigert

@maweigert.bsky.social

Machine Learning for Microscopy | Prof @ TU Dresden | https://scholar.google.com/citations?user=ZltxyqoAAAAJ

1K followers267 following18 posts

Martin Weigert reposted

The paper is now published in Current Protocols!! 🎉🥳 currentprotocols.onlinelibrary.wiley.com/doi/abs/10.1... Some personal story below 👇 , and technical details in the linked post that featured the preprint 👉

currentprotocols.onlinelibrary.wiley.comAutomated Optimization of Bacterial Tracking Pipelines With TrackMate 8Quantitative analysis of bacterial dynamics in time-lapse microscopy requires robust tracking pipelines, yet selecting and optimizing algorithms for specific experiments remains challenging. Indeed, ...
Jean-Yves Tinevez@jytinevez.bsky.social

New preprint alert! We developed an automated framework to optimize tracking pipelines for bacteria, along with a nice integration of tools for bacteria imaging, in the recently released TrackMate 8 (Fiji plugin). www.biorxiv.org/content/10.6... 👇🧵

Martin Weigert reposted

📢📢 We are hiring a Bioimage Analyst at the BioVisionCenter! 📢📢 Join our collaboration with the Flow Cytometry Facility and contribute back to the international efforts on open standards for bioimaging data! More information here, reach out if you have any question: jobs.uzh.ch/job-vacancie...

jobs.uzh.chUZH: Bioimage AnalystThe University of Zurich is the largest university in Switzerland and one of the most prominent in Europe. For research purposes the Biovision Center and Flow Cytometry Facility offer services to supp...

Join us again for the Bioimage Computing workshop at ECCV 2026! Paper deadline July 13th 🔥

Anna Foix@afoix.bsky.social

🔬 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

Martin Weigert reposted

💥 🚀 New preprint! 🎉🥳 How do hundreds of organelles organize themselves into near-perfect patterns inside a cell, without a blueprint? We dive deep into how basal bodies (BBs) self-organize in MCCs - and how actin actively tunes their dynamics into order 🍪 🧵👇 (1/17)

Martin Weigert reposted

BIG UPDATES! OCTRON now supports the new SAM3 models (alongside SAM2)! We’ve also added a global switch for Detection vs. Segmentation: Use the same annotations to train either lightweight detection or full segmentation models. Plus, we’ve added support for the new YOLO26 models. ⤵️ 1/12

Martin Weigert reposted

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.

Human Technopole@humantechnopole.bsky.social

🎓 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...

Martin Weigert reposted

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

Martin Weigert@maweigert.bsky.social

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

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For pretraining we use multi-resolution MAE: we mask tokens across scales and reconstruct each level from the others (cross-scale inpainting). This yields strong, scale-consistent representations and speeds up downstream training, and lets us leverage large unlabeled microscopy datasets.

Modern microscopy produces GB images with multi-scale features (cells > tissue > anatomy), yet most models use single res FOV. MuViT jointly encodes multiple physical regions in one transformer with world-coordinate RoPE for coherent cross-scale attention, ie it "sees" local + global context at once

Martin Weigert reposted

Method of the Year 2025: In his Comment, @janfunkey.bsky.social discusses current challenges in connectomics, which is time-consuming and labor-intensive. He focuses on proofreading and discusses how automated models might be further developed to embrace uncertainty. www.nature.com/articles/s41...

nature.comUncertainty quantification for connectomics - Nature MethodsAs connectomics datasets grow in size and quantity, future reconstruction methods will have to work with minimal or no human supervision. For that, we will need methods that can quantify data and mode...

Martin Weigert reposted

Thanks Misha for the shout-out! It has been a truly mind-opening journey. WHOLISTIC is one step towards whole-organism neuroscience and a true physiological observatory - with extensions on the way! I am continually amazed by what the data reveals - so much remains to be discovered and mined.

Misha Ahrens@mishaahrens.bsky.social

Preprint - Excited to present WHOLISTIC, which extends the concept of whole-brain functional imaging to the entire body. Pioneering work by incredibly talented Virginia Ruetten @vmsruetten.bsky.social, this platform reveals whole-organism cellular dynamics in vivo. www.biorxiv.org/content/10.1...

Martin Weigert reposted

How is this possible? This ant can lay eggs of two different species, birthed by the same mother

Martin Weigert reposted

Thrilled to share 🎉 I’m starting my lab at University of Zurich, DMLS as Assistant Professor (tenure track) from Jan 2026! The Neural MorphoGenomics & Developmental Dynamics Lab will be exploring how genes + morphogenesis shape brain development with organoids, imaging & spatial genomics 🧠🔬🧬

Martin Weigert reposted

Martin Weigert reposted

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

nature.comUnified mass imaging maps the lipidome of vertebrate developmentNature Methods - uMAIA is an analytical framework designed to enable the construction of metabolic atlases at high resolution using mass spectrometry imaging data.

Martin Weigert reposted

Martin Weigert reposted

Martin Weigert reposted

Martin Weigert reposted

Martin Weigert reposted

Very happy to share it’s online! If you read the preprint, updates include tracking cells and tissue flow, Histo4i timecourse (69 Abs) comparing spatial patterning emergence and a new WLS KO ipsc line establishing mechanosensing via YAP-WLS/WNT caudalizes organoids www.nature.com/articles/s41...

nature.comMorphodynamics of human early brain organoid development - NatureHuman brain morphodynamics are explored using organoids.

Martin Weigert reposted

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...

scads.aiAI Method Improves Transcript Detection in Microscopy ImagesSpotiflow improves large-scale transcript localization by combining deep learning with a novel geometric detection approach.

If you in need of a quick walkthrough @albertdm.bsky.social has you covered:

Albert Dominguez Mantes@albertdm.bsky.social

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)