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Deep-learning assisted Super-Resolution Microscopy

Computational Imaging Research Labratory

University of Memphis


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Tackling image translation problems

Mission: Modeling the degradation and applying the inverse process in order to recover the original image using deep-learning tool.

Vision: Self-contained, fast-paced, parameter free and interactive deep learning powered image reconstruction.

Lateral Super-Resolution

Wide Field
Super-Resolution




Axial Super-Resolution

Wide Field
Super-Resolution




  •  Super-Resolution Microscopy

  • Super-resolution microscopy™, also called nasoscopy, allows for observation of fluorescent samples at resolutions below the limit the diffraction of light imposes on any optical microscope.

  • Strucutral Illuminaiton Microscopy (SIM)

  • SIM relies on laser-based wide-field microscopy set-up to which a movable diffraction grating has been inserted into the excitation beam path. Zero order and/or only first order diffracted laser beams (respectively to achieve 3D- or 2D-SIM) are let to pass through the objective. These laser beams interfere with each other at the focal plane of the objective and create an illumination in stripes.




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