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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 3 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Type: optional