Computational optical imaging

MICRO-421 / 4 credits

Teacher: Psaltis Demetri

Language: English

Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.

Summary

Modern imaging systems combine traditional optical devices (lenses, endoscopes, cameras, laser scanners, etc) with digital computers. In this course we learn how to use computational tools to simulate the optical system and combine them with neural networks that process the optical images

Content

1. Optical wave propagation

  • mIngenierie Optique or any Bachelor level optics courseFree space propagation
  • Beam propagation method
  • Thin transparencies-Lenses and gratings
  • Imaging
  • Digital Holography
  • Computer Generated Holograms

2. Multi-layer networks

3. Microscopy

  • 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

Keywords

Optical imaging, optical instruments, optical design, performance analyis, aberrations, resolution and contrast, microscopy

 

Learning Prerequisites

Required courses

"MICRO-321 Ingenierie Optique" or any Bachelor level optics course

Recommended courses

 

"MICRO-321 Ingenierie Optique" or any Bachelor level optics course

 

 

Important concepts to start the course

Matrix calculations, Fourier transformation, Electromagnetic waves, refraction and reflection, polarization, signal filtering, basics of geometrical optics

Learning Outcomes

By the end of the course, the student must be able to:

  • Sketch optical systems
  • Estimate performance of optical systems
  • Analyze imaging systems and the image quality
  • Compute Digital twin

Transversal skills

  • Set objectives and design an action plan to reach those objectives.
  • Communicate effectively with professionals from other disciplines.
  • Continue to work through difficulties or initial failure to find optimal solutions.

Teaching methods

Lecturing with exercises

Expected student activities

During semester evaluation. Final written exam in the last day of class.

 

Supervision

Office hours No
Assistants Yes
Forum No
Others Possible to take dates

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

B.A. Saleh and M.C. Teich, Fundamental of photonics (2007)

J.W. Goodman, Introduction to Fourier optics (1996)

Notes/Handbook

Course material and slides covering geometrical and matrix optics, Fourier optics, microscopy are published on Moodle

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Computational optical imaging
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional

Reference week

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