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  • Author(s):
    Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuang Zhang, Cody Smith, Scott Howard
    Abstract:

    Fluorescence microscopy has enabled a dramatic development in modern biology. Due to its inherently weak signal, fluorescence microscopy is not only much noisier than photography, but also presented with Poisson-Gaussian noise where Poisson noise, or shot noise, is the dominating noise source. To get clean fluorescence microscopy images, it is highly desirable to have effective denoising algorithms and datasets that are specifically designed to denoise fluorescence microscopy images. While su…

    Date Created:
    2019-10-15
    Resource Type
    Presentation
  • Author(s):
    Yide Zhang
    Abstract:

    In cancer and all biomedical researches, we always need a microscope with better imaging precision, speed, functionality, and depth, so that the diagnostics and treatments of cancer and other diseases can be accurate, fast, and noninvasive. However, conventional fluorescence microscopes cannot satisfy these needs due to physical limits on resolution, speed, information, and depth. In this work, we aim to overcome these limits using novel super-resolution microscopy and high-speed quantitative…

    Date Created:
    2018-04-09
    Resource Type
    Presentation
  • Creator(s):
    Rob Wieck
    Description:

    Larval collections from artificial breeding sites in a high-transmission fish farming area in the brazilian Amazon.

    Date Created:
    2018-09-18