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    NIH Researchers Speed Image Processing for Fluorescence Microscopy

    Article obtained from Photonics RSS Feed.

    Advances in image processing techniques could reduce post-processing time for highly complex microscopic images up to several thousandfold, based on work done by a research team at the National Institutes of Health (NIH) and their collaborators at the University of Chicago and Zhejiang University.

    The team led by Hari Shroff, chief of laboratory on High Resolution Optical Imaging at the National Institute of Biomedical Imaging and Bioengineering (NIBIB), took a three-step approach to improving processing time. First, it modified the classic deconvolution algorithm that is used to reduce the blurring of tiny objects captured by the microscope’s video. Deconvolution traditionally requires significant computing power and time. By…

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    Jul, 09 2020 |

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