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  • Author(s):
    Yide Zhang, Takashi Hato, Pierre Dagher, Evan Nichols, Cody Smith, Kenneth Dunn, Scott Howard
    Abstract:

    Fluorescence lifetime imaging microscopy (FLIM) provides additional contrast for fluorophores with overlapping emission spectra. The phasor approach to FLIM greatly reduces the complexity of FLIM analysis and enables a useful image segmentation technique by selecting adjacent phasor points and labeling their corresponding pixels with different colors. This phasor labeling process, however, is empirical and could lead to biased results. In this Letter, we present a novel and unbiased approach …

    Date Published:
    2019-08
    Record Visibility:
    Public
  • 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
    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
    Record Visibility:
    Public
    Resource Type
    Presentation
  • Author(s):
    Yide Zhang, Scott S. Howard, Cody J. Smith
    Abstract:

    Super-resolution microscopy is broadening our in-depth understanding of cellular structure. However, super-resolution approaches are limited, for numerous reasons, from utilization in longer-term intravital imaging. We devised a combinatorial imaging technique that combines deconvolution with stepwise optical saturation microscopy (DeSOS) to circumvent this issue and image cells in their native physiological environment. Other than a traditional confocal or two-photon microscope, this approac…

    Date Created:
    2019-01-09
    Record Visibility:
    Public
    Resource Type
    Software
  • Author(s):
    Yide Zhang, Prakash Nallathamby, Genevieve D. Vigil, Aamir A. Khan, Devon E. Mason, Joel D. Boerckel, Ryan K. Roeder, Scott S. Howard
    Abstract:

    Super-resolution fluorescence microscopy is an important tool in biomedical research for its ability to discern features smaller than the diffraction limit. However, due to its difficult implementation and high cost, the super-resolution microscopy is not feasible in many applications. In this paper, we propose and demonstrate a saturation-based super-resolution fluorescence microscopy technique that can be easily implemented and requires neither additional hardware nor complex post-processin…

    Date Published:
    2018-04
    Record Visibility:
    Public