Deep Learning-Assisted Multiphoton Microscopy to Reduce Light Exposure and Expedite Imaging in Tissues With High and Low Light Sensitivity.

Journal: Translational vision science & technology
Published Date: Oct 4, 2021

Abstract

PURPOSE: Two-photon excitation fluorescence (2PEF) reveals information about tissue function. Concerns for phototoxicity demand lower light exposure during imaging. Reducing excitation light reduces the quality of the image by limiting fluorescence emission. We applied deep learning (DL) super-resolution techniques to images acquired from low light exposure to yield high-resolution images of retinal and skin tissues.

Authors

  • Stephen McAleer
    Department of Computer Science, University of California, Irvine, Irvine, CA, USA.
  • Alexander Fast
    Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA, USA.
  • Yuntian Xue
    Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA.
  • Magdalene J Seiler
    Department of Physical Medicine & Rehabilitation, University of California, Irvine, Irvine, CA, USA.
  • William C Tang
    Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States.
  • Mihaela Balu
    Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA, USA.
  • Pierre Baldi
    Department of Computer Science, Department of Biological Chemistry, University of California-Irvine, Irvine, CA 92697, USA.
  • Andrew W Browne
    Department of Ophthalmology, Gavin Herbert Eye Institute, University of California, Irvine, California.

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