Yide Zhang

Postdoctoral Scholar at Caltech
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Contact Information
us****@****om
(386) 825-5501
Location
Pasadena, California, United States, US
Languages
  • English Full professional proficiency
  • Chinese Native or bilingual proficiency
Skills

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Bio

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Credentials

  • IOP Trusted Reviewer
    IOP Publishing
    Sep, 2020
    - Oct, 2024
  • Certified Publons Academy Peer Reviewer
    Publons
    Jun, 2020
    - Oct, 2024
  • Certified Reviewer for OSA Journals
    The Optical Society (OSA)
    Dec, 2019
    - Oct, 2024
  • Teaching Well Using Technology
    University of Notre Dame
    Aug, 2018
    - Oct, 2024

Experience

  • Caltech
    • United States
    • Research Services
    • 700 & Above Employee
    • Postdoctoral Scholar
      • Sep 2019 - Present

      Advisor: Professor Lihong Wang Advisor: Professor Lihong Wang

  • University of Notre Dame
    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Aug 2014 - Sep 2019

      Advisor: Professor Scott Howard • Developed a theoretical framework for optimizing the signal-to-noise ratio of multiphoton frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM). • Experimentally demonstrated a super-sensitivity FD-FLIM technique with a two-fold improvement in imaging speed compared to the theoretical limit of conventional FD-FLIM. • Theoretically analyzed the lifetime measurement error in FD-FLIM under fluorophore saturation conditions and experimentally… Show more Advisor: Professor Scott Howard • Developed a theoretical framework for optimizing the signal-to-noise ratio of multiphoton frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM). • Experimentally demonstrated a super-sensitivity FD-FLIM technique with a two-fold improvement in imaging speed compared to the theoretical limit of conventional FD-FLIM. • Theoretically analyzed the lifetime measurement error in FD-FLIM under fluorophore saturation conditions and experimentally demonstrated a method for eliminating this error. • Invented stepwise optical saturation (SOS), a super-resolution fluorescence microscopy technique that could be easily implemented and required neither additional hardware nor complex post-processing. • Generalized the concept of SOS and experimentally demonstrated the first implementation of super-resolution imaging in FD-FLIM. • Constructed the Fluorescence Microscopy Dataset (FMD) that consisted of 12,000 real fluorescence microscopy images; it was the first microscopy image dataset dedicated for Poisson-Gaussian denoising purposes and had been used to benchmark conventional and deep learning based denoising methods. • Demonstrated phase multiplexing FLIM, a novel imaging technique capable of generating 3D fluorescence lifetime images at the same speed with a conventional confocal or multiphoton microscope. • Developed a novel and unbiased approach to segment FLIM images automatically by K-means clustering of FLIM phasors and demonstrated successful image segmentation on 2D and 3D FLIM images of fixed cells and living animals acquired with two different FLIM systems. • Took charge of the design, budget, construction, and demonstration of all the experimental setups mentioned above; built the hardware and wrote the software from scratch. Show less Advisor: Professor Scott Howard • Developed a theoretical framework for optimizing the signal-to-noise ratio of multiphoton frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM). • Experimentally demonstrated a super-sensitivity FD-FLIM technique with a two-fold improvement in imaging speed compared to the theoretical limit of conventional FD-FLIM. • Theoretically analyzed the lifetime measurement error in FD-FLIM under fluorophore saturation conditions and experimentally… Show more Advisor: Professor Scott Howard • Developed a theoretical framework for optimizing the signal-to-noise ratio of multiphoton frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM). • Experimentally demonstrated a super-sensitivity FD-FLIM technique with a two-fold improvement in imaging speed compared to the theoretical limit of conventional FD-FLIM. • Theoretically analyzed the lifetime measurement error in FD-FLIM under fluorophore saturation conditions and experimentally demonstrated a method for eliminating this error. • Invented stepwise optical saturation (SOS), a super-resolution fluorescence microscopy technique that could be easily implemented and required neither additional hardware nor complex post-processing. • Generalized the concept of SOS and experimentally demonstrated the first implementation of super-resolution imaging in FD-FLIM. • Constructed the Fluorescence Microscopy Dataset (FMD) that consisted of 12,000 real fluorescence microscopy images; it was the first microscopy image dataset dedicated for Poisson-Gaussian denoising purposes and had been used to benchmark conventional and deep learning based denoising methods. • Demonstrated phase multiplexing FLIM, a novel imaging technique capable of generating 3D fluorescence lifetime images at the same speed with a conventional confocal or multiphoton microscope. • Developed a novel and unbiased approach to segment FLIM images automatically by K-means clustering of FLIM phasors and demonstrated successful image segmentation on 2D and 3D FLIM images of fixed cells and living animals acquired with two different FLIM systems. • Took charge of the design, budget, construction, and demonstration of all the experimental setups mentioned above; built the hardware and wrote the software from scratch. Show less

  • Huazhong University of Science and Technology
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • 2012 - 2014

      Advisor: Professor Zhigang Zeng • Simulated neural activities including learning, associative memory and forgetting in a memristive neural network with integrate-and-fire CMOS neurons and spike-rate-dependent plasticity synapses. • Implemented exponential adaptive lag synchronization of two memristive neural networks using fuzzy methods.

    • Project Leader, Core Member
      • 2011 - 2012

      • Designed and developed a parent-child application called Fairy Tale Wonderland on Android OS. • Won the National First Prize in the 2011 Mobile Market Million Youth Entrepreneurship Competition. • Developed a plugin to let users cut the webpage into an editable picture and share it with friends.

Education

  • University of Notre Dame
    Doctor of Philosophy (Ph.D.), Electrical Engineering
    2014 - 2019
  • University of Notre Dame
    Master of Science (M.S.), Electrical Engineering
    2014 - 2017
  • Huazhong University of Science and Technology
    Bachelor of Engineering (B.Eng.), Automation
    2010 - 2014

Community

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