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A stool test is a diagnostic procedure that involves analyzing fecal matter, or poop, to check for signs of infection, inflammation, or disease. The specific analysis depends on a person’s ...
Each year, Nikon runs a microscopy competition honoring the best images of all things small. And, well, we're kind of suckers for it here at Ars. So when the company got in touch and offered us ...
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AI able to identify drug-resistant typhoid-like infection from microscopy images in matter of hours - MSNThe team determined that an algorithm could be trained to identify drug-resistant bacteria correctly from microscopy images alone. advertisement. Phys.org. ... urine or stool sample.
A slice of mouse brain informing memory research and a waving tardigrade are among the winners of the 2019 Olympus Image of the Year Life Science Light Microscopy Award.
Over 600 images were submitted to the fourth Global Image of the Year Scientific Light Microscopy Award, an annual competition run by Tokyo-based Evident.
Electron cryo-microscopy: Using inexpensive technology to produce high-resolution images. ScienceDaily . Retrieved May 24, 2025 from www.sciencedaily.com / releases / 2020 / 07 / 200713120020.htm ...
Bats, bugs, and beauty: The best microscopy images of 2020 It's time once again for some of the most artistic images to ever come out of a lens. John Timmer – Oct 13, 2020 11:00 am | 37 ...
Advancements made in a revolutionary electron microscope technology has enabled researchers to break the atomic resolution barrier and image individual atoms within a protein. This is a massive ...
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Machine Learning Reads Microscopy Images for Antibiotic Resistance - MSNThe group showed how drug-resistant bacteria may be accurately determined from microscopy images alone using a trained algorithm. This research was published in Nature Communications.
Inspired by the beauty and breadth of images submitted for Image of the Year 2017, Olympus continues its quest for the best light microscopy art in 2018. For the chance to win a microscope or ...
Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown.
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