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  Presentation

  A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
  

  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

  Record Visibility:

  Public

  Title

  A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

  Subject

  Nikon A1R

  Creator

  Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuang Zhang, Cody Smith, Scott Howard

  Publisher

  ArXiv.org/Cornell University

  Date Created

  2019-10-15

  Rights

  All rights reserved

  Resource Type

  Presentation