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)

📄 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)