An Enhanced Mountain Climbing Search Algorithm to Enable Fast and Accurate Autofocusing in High Resolution Fluorescence Microscopy Accurate and efficient autofocusing is essential for the automation of fluorescence microscopy, but background noise and shallow depth of field at high magnifications make autofocusing particularly ch...

An autofocus algorithm that is applicable across a range of imaging modalities. Preprint from @lasergroup.bsky.social

www.biorxiv.org/content/10.1...

Want to see how AI-driven imaging might reshape the future biomedical research? Read the full paper here: tinyurl.com/AImicroscopy... 🧠📸 #Microscopy #DeepLearning #AI #Automation

The key challenges? Teaching microscopes what to image, when to image, and how to image—without human input. Our review lays out the latest advances & how DL is breaking barriers in microscopy automation. (4/5)

Why does this matter? Current imaging methods need too much manual intervention, limiting throughput. Fully autonomous super-resolution imaging could transform drug discovery & disease phenotyping, just like AI has in other fields. (3/5)

DL is already a game-changer for denoising, fast reconstruction, & object classification in microscopy. But automation? That’s the next frontier! Our review dives into how DL can enable microscopes to think for themselves. (2/5)

🔬🚀 Exciting news! Our latest review in Small Methods explores how Deep Learning (DL) is revolutionising super-resolution microscopy—pushing the boundaries of biomedical imaging! 🧵👇 (1/5)

📄 Read our full paper on this breakthrough in polar microscopy and its implications for deep-sea and cold-adapted life: tinyurl.com/smallcoldmic ❄️🔬 (5/5)

🧬 This approach works across multiple microscopy techniques, including super-resolution imaging. Tested on live Antarctic fish cells, it enables accurate studies in evolutionary biology, biophysics, and biotechnology. (4/5)

📢 Anne-Pia presents a new method for high-fidelity imaging at ~0°C! Using a cooling collar, 10% ethanol as an immersion medium, and nitrogen flow to reduce condensation, we maintain live biological samples under physiological conditions. (3/5)

🧊 High-resolution microscopy requires short working distances and immersion media, causing rapid heat transfer to samples. For cold-adapted organisms, this means cell damage, altered biology, and unreliable results. (2/5)

Cold Case - Unlocking Life's Frozen Secrets YouTube video by CEB Cambridge

🔬❄️ The Antarctic seabed harbors astonishing biodiversity, yet organisms that live their entire lifecycle at ~0°C remain vastly understudied. Why? Because imaging these fragile lifeforms under physiological conditions is technically challenging. youtu.be/cK2DdWLsbes?... (1/5)

Fairwell, Bismoy Mazumder, after 6 glorious years in the group and good luck for the next chapter of your life. See you in India!

HI! 👋 We’re the Department of Chemical Engineering and Biotechnology at the University of Cambridge. We like:

🧪Science that pushes the envelope
🌏Working to solve the world’s biggest challenges
🧑‍🔬Collaborating with amazing scientists
🫖Tea!
🤖Robots!

#DrivenByCuriosity #DrivingChange

Hello, world! This is our first post on BlueSky. Very happy to have moved on from where we were previously. All news for the group now on Bluesky.
🔬🧪😊