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Artificial intelligence can boost the power and efficiency of even the best microscopes

Artificial intelligence can boost power, efficiency of even the best microscopes By (0) Researchers used their new AI-powered microscopy technology to image the beating heart of a fish larva. Photo by Tobias Wuestefeld May 7 (UPI) With the help of artificial intelligence, even already powerful microscopes can see better, faster and process more data. In a new study, published Friday in the journal Nature Methods, researchers used new machine learning algorithms to combine a pair of novel microscopy techniques. Advertisement The marriage dramatically accelerated image processing and yielded crisp, accurate results. To capture speedy biological processes in 3D, like the beating heart of a fish larva, researchers rely on a method called light-field microscopy.

Nils wagnerAnna kreshukRobert prevedelTechnical university of munich germanyNature methodsTechnical universityதொழில்நுட்ப பல்கலைக்கழகம் ஆஃப் முனிச் ஜெர்மனிஇயற்கை முறைகள்தொழில்நுட்ப பல்கலைக்கழகம்

Artificial intelligence makes great microscopes better than ever

Date Time Artificial intelligence makes great microscopes better than ever Machine learning helps some of the best microscopes to see better, work faster, and process more data A representation of a neural network provides a backdrop to a fish larva’s beating heart. Illustration credit: Tobias Wüstefeld. To observe the swift neuronal signals in a fish brain, scientists have started to use a technique called light-field microscopy, which makes it possible to image such fast biological processes in 3D. But the images are often lacking in quality, and it takes hours or days for massive amounts of data to be converted into 3D volumes and movies.

Baden wübergNils wagnerRobert prevedelAnna kreshukFynn beuttenmTechnical university of munichTechnical universityதொழில்நுட்ப பல்கலைக்கழகம் ஆஃப் முனிச்தொழில்நுட்ப பல்கலைக்கழகம்

Powerful microscopes made faster and more accurate with machine learning

Powerful microscopes made faster and more accurate with machine learning
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Nils wagnerAnna kreshukEuropean molecular biology laboratoryஐரோப்பிய மூலக்கூறு உயிரியல் ஆய்வகம்