Nils Norlin
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nilsnorlin.bsky.social
Nils Norlin
@nilsnorlin.bsky.social
27 followers 42 following 2 posts
Exploring the life sciences with microscopy and AI
Looking for postdocs to join the lab !
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Reposted by Nils Norlin
lhinderling.bsky.social
Want to get started with smart microscopy? 🧠🔬
Check out our online repository with implementations from labs and industry -- lots of practical tips and links to sample code! smartmicroscopy.github.io/implementati...

More details in the ✨updated preprint!✨
www.biorxiv.org/content/10.1...
screenshots of some of the sample implementations Screenshot of smartmicroscopy.github.io/implementations.html, showing an overview of collected implementation examples
October 1, 2025 at 9:43 AM
Reposted by Nils Norlin
natmethods.nature.com
A new Perspective discusses the challenges of sharing annotated image datasets and offers advice for improving bioimage annotation and reuse, particularly for AI applications.

www.nature.com/articles/s41...
September 17, 2025 at 2:56 PM
Reposted by Nils Norlin
bioimagearchive.bsky.social
🎉 Our paper “MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis” is out in @natmethods.nature.com!
Community-driven standards to make bioimage data AI-ready & reusable.
👉 www.nature.com/articles/s41... #AI #Bioimaging #FAIRdata
September 15, 2025 at 9:57 AM
Reposted by Nils Norlin
lhinderling.bsky.social
🔬🧠 Our paper on smart microscopy & the issue of interoperability! www.biorxiv.org/content/10.1... LONG THREAD WARNING: Smart microscopy uses real-time image analysis to automatically guide the acquisition or perturbation of the sample (closed feedback-control loop). Many applications exist:
Figure legend: Categories and capabilities of smart microscopy systems integrating real-time image analysis and feedback control. Top: Smart microscopy workflows can be classified based on the driving logic behind decision-making: Event-driven (reacting to rare biological events), Outcome-driven (using feedback-control to steer biological systems toward a desired state), Quality-driven (optimizing signal quality or imaging metrics), and Information-driven (guided by models that predict which measurements/perturbations will yield the most informative data). Middle: Central feedback loop between the microscope and an image analysis system, which continuously exchanges images and commands to guide acquisition dynamically. Bottom: Key control actions enabled by smart microscopy: adjusting imaging modality (e.g. switching from brightfield to fluorescence, adjusting sampling rate), repositioning the field of view (e.g. tracking, drift correction), optimizing acquisition settings (e.g. adaptive optics), and performing photomanipulation (e.g. FRAP, ablation, optogenetics).
August 21, 2025 at 2:22 PM
nilsnorlin.bsky.social
Norlin Lab is expanding!

Postdoctoral scholarship available:

Computational microscopy with applications in lensless imaging.

Preferably, you have already developed applications using ML/AI in microscopy, though this is not strictly required.
September 11, 2025 at 8:04 PM