The main objective of the course is to teach students the basic principles of statistical analysis and to provide them with practical tools for data processing in the field of optics, with particular interest for the processing of optical signals in function of time (1D) and image forming systems (2D). It is expected that the students will acquire basic skills to be used in the field of statistical optics and will develop some job autonomy in this area, elements that will be evaluated during the course and in the final examination.
Course Prerequisites
Basic knowledge of optics and statistics.
Teaching Methods
Lectures with computer practical sessions.
Assessment Methods
Development of data analysis programs related to the various topics covered in the course.
Contents
The course will deal with the analysis of optical signals that are commonly measured in a laboratory, both as a function of time (1D signals) or space (2D images). Starting from the basics of Statistics and Fourier optics, the course will explore various topics of practical interest in the treatment of optical data analysis, including: • Nyquist theorem (or sampling theorem) • Fourier analysis, linear filtering and deconvolution • Temporal auto and cross-correlation functions • Inversion algorithms • Morphological analysis and image segmentation. • Colorimetric analysis • Applications to 3D images from confocal microscopy The course envisages the execution of various numerical simulations to be performed with the graphical language LABVIEW, with the possibility of practical sessions to be carried out in laboratory.
Course Language
English
More information
The course will make use of textbooks about the different topics, handouts, slides.
