How do you know if a microscopy experiment can actually resolve a biological structure?
Introducing VLab4Mic, a platform that predicts structural resolvability before you go to the microscope
Led by @JDamianMtzR and @Bruno_MSaraiva at @HenriquesLabbiorxiv.org/content/10.64898…
🔬🚀 Preprint update for #VLab4Mic - our super-resolution experiments virtual simulation system. Now installs as a one-click desktop app: no Python, no setup, thanks to the magic of the Jacquemet's lab #LabConstrictor packaging engine
biorxiv.org/content/10.64898…
How do you know if a microscopy experiment can actually resolve a biological structure?
Introducing VLab4Mic, a platform that predicts structural resolvability before you go to the microscope
Led by @JDamianMtzR and @Bruno_MSaraiva at @HenriquesLabbiorxiv.org/content/10.64898…
Can microscopy distinguish a flat from a domed clathrin lattice?
VLab4Mic predicts:
❌ Confocal
❌ AiryScan
✅ STED
✅ SMLM
A simple example of how simulation can guide modality selection before spending microscope time
Resolution isn't just optics. Structural resolvability also depends on probe size, linkage error, labelling efficiency, steric hindrance and, molecular organisation. VLab4Mic models all of these starting from PDB or AlphaFold structures
Our preprint is out!! We present VLab4Mic, a platform that predicts structural resolvability for diverse biological structures before any experiments!! biorxiv.org/content/10.64898…
How do you know if a microscopy experiment can actually resolve a biological structure?
Introducing VLab4Mic, a platform that predicts structural resolvability before you go to the microscope
Led by @JDamianMtzR and @Bruno_MSaraiva at @HenriquesLabbiorxiv.org/content/10.64898…
How do you know if a microscopy experiment can actually resolve a biological structure?
Introducing VLab4Mic, a platform that predicts structural resolvability before you go to the microscope
Led by @JDamianMtzR and @Bruno_MSaraiva at @HenriquesLabbiorxiv.org/content/10.64898…
Huge thank you to the labs of @christlet, Dylan Owen and Mark Bates, and to @T_Shakespeare, who helped us make it happen. #VLab4Mic also heavily uses data from RCSB PDB, Jonas Ries & Justin Taraska's labs
This closes a loop we opened with #NanoJSQUIRREL (@SuperResoluSian et al., 2018), which mapped where super-resolution images go wrong relative to a reference. #VLab4Mic comes at it from the other end: predicting what's resolvable from known atomic structure before you even image
How do you know if a microscopy experiment can actually resolve a biological structure?
Introducing VLab4Mic, a platform that predicts structural resolvability before you go to the microscope
Led by @JDamianMtzR and @Bruno_MSaraiva at @HenriquesLabbiorxiv.org/content/10.64898…
1/ 🚀 Excited to release: napari-mcp - agentic control of napari from any MCP-capable AI assistant!
Use it for interactive image processing, analysis, and visualisation! Really cool project from @ilan_theodoro in my team!
#napari#bioimageanalysis#MCP@biohub
#IMS2026 D1 finishes with great @HenriquesLab and Guillaume Jacquemet pushing the limits of live-cell super-resolution, democratizing AI and quantitative microscopy, and using all these to study cancer cell transmigration and attachment 🌟
Students and postdocs from @HenriquesLab and Pedro Pereira's lab shining at #IMS2026 with intracellular infection, bacteriophages, expansion microscopy and lung on a chip🔥
Big news🥂I'll start my research group at @NIMSB_NOVA!🔥🎉Hard to describe how
HAPPY EXCITED I am about bringing new #AI#imagedriven biomedical research growing together🌱I'm grateful to my supervisors,colleagues,collabs mentors who inspired encouraged me throughout 🤍
Absolutely delighted to share that we’ve been awarded by @wellcometrust with amazing collaborators John Barr, Juan Fontana & Martin Stacey! 🚀 An exciting adventure studying #bunyavirus viral factories with cutting-edge techniques is about to startI! 🔬🧪🦠🧬💻🌟
Scientists at Cambridge have developed a groundbreaking 3D molecular microscope that lets researchers watch life at work inside living cells. ch.cam.ac.uk/news/scientists…
ALT 3D ‘Molecular Microscope’ to Watch Life at Work Inside Cells
📯👨🚀 Calling all #bioimage analysis aficionados. #EZInput is out! We wanted to bring #ImageJ’s capacity to record settings to the #Python ecosystem 🐍. It is a declarative library for generating UIs that just work. Done with Guillaume Jacquemet's lab
arxiv.org/abs/2601.08859
We also needed something flexible for AI workflows 🤖. With EZInput, you get cross-environment support: same code, same interface. It works as a widget in Jupyter/Colab OR as a TUI in the terminal. 🖥️ Perfect for prototyping and then accelerating experimentation on the cluster 🚀
Huge kudos to the team: the brainchild of Bruno Saraiva, with contributions from Iván Hidalgo-Cenalmor, António Brito, Damián Martínez, and Tayla Shakespeare! 🙌 We built this to simplify how we interact with our own tools. Hope you find it useful too! 👇
arxiv.org/abs/2601.08859