Researchers Use Algorithm from Netflix Challenge to Speed Up Biological Imaging

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PARIS, FRANCE - OCTOBER 23: In this photo illustration, the Netflix media service provider's logo is displayed on the screen of a tablet on October 23, 2018 in Paris, France. The US video-on-demand company Netflix announced Monday it wants to raise an additional $ 2 billion to fund new productions. Netflix offers movies and television series on the Internet, the company has 137 million subscribers. (Photo Illustration by Chesnot/Getty Images)

WASHINGTON–(BUSINESS WIRE) Researchers have repurposed an algorithm originally developed for Netflix’s 2009 movie preference prediction competition to create a method for acquiring classical Raman spectroscopy images of biological tissues at unprecedented speeds. The advance could make the simple, label-free imaging method practical for clinical applications such as tumor detection or tissue analysis.

 

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