Less energy, better quality photoacoustic microscopy images with machine learning
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22 November 2021Less energy, better quality photoacoustic microscopy images with machine learning
Photoacoustic microscopy (PAM) allows researchers to see the smallest vessels inside a body, but it can generate some unwanted signals or noise. A team of researchers at the McKelvey School of Engineering at Washington University in St. Louis found a way to significantly reduce the noise and maintain image quality while reducing the laser energy needed to generate images by 80%.
