Computational Optical Imaging

Computational Optical Imaging MICRO-421

Modern optical imaging systems combine traditional optical devices (lenses, endoscopes, cameras, laser scanners, etc) with digital computers.  Computer are used to enhance or interpret the optical images.  In addition, computers adapt the optical system in order to achieve desired functionality (for example autofocus). In this course we will learn how to use computational tools to simulate the optical system and combine them with neural networks that process the optical images.

 Topics

1. Optical wave propagation  

Free space propagation

Beam propagation computational method

Thin transparencies-Lenses and gratings

Imaging

Digital Holography

Computer Generated Holograms

2. Multi-layer networks

3. Microscopy with Deep Neural Networks (DNNs) 

DNN- Unet superresolution

DNN - Unet digital staining

DNN - Phase from Intensity

 4. Scattering media

Phase conjugation

Matrix method

DNN for focusing and imaging through MMFs

Ptychography

5. Inverse scattering

Optical diffraction tomography

Inverst scattering-MaxwellNet