Basic Information
Introduction to Inverse Problems# Linear Problems Continuous And Matrix Forms, Ill-posed and Ill Conditioned Problems, Regularization Methods, Sparsity, Compressed Sensing, Imaging Through Scattering Media/multimode Fibers. Fourier Optics - Short Review# Transfer Function, 4f System, Coherent/incoherent Imaging, Numerical Lens and Microscope Model. Localization Microscopy# Imaging Modalities - Palm, Storm, Paint, Emitter-fitting Methods (ls, Wls, Mle), Analysis of Localization Microcopy Via Estimation Theory, Temporal Infirmation - 3b, Sofi. Single Particle Tracking# Tracking Algorithms, Kalman Filter, Motion Blur. Optical Fourier Processing# Phase Retrieval, Adaptive Optics, Wave Front Sensing, Spatial-light-modulation, Ptychography. Three-dimenstional Imaging# Macroscopic Vs. Microscopic 3d Imaging, Multifocal Microscopy, Light-field Imaging, Point-spread-function Engineering, Edof, Interfermetric Localization. Learning Outcomes# at The End of The Course The Student Will Aqcuire 1. Understanding in Computational Optical Imaging. 2. Ability to Perform Basic Numerical Modeling and Simulation Related to Computational Microscopy. 3. Understanding of The Experimental and Numerical Limitations Of Existing Techniques.
Faculty: Biomedical Engineering
|Graduate Studies
Pre-required courses
(44198 - Intro. to Digital Signal Processing and 114210 - Optics) or (44198 - Intro. to Digital Signal Processing and 336533 - Fundamentals of Biomdical Optics and Photonics)
Semestrial Information
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Yoav Shechtman
Registration Groups
|
|
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Yoav Shechtman
Registration Groups
|
|
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Yoav Shechtman
Registration Groups
|
|