Multimodal Imaging for Biological and Inorganic Materials

Research theses
Abstract

This internship will focus on the characterization of materials that could be from different origins (biological such as tissue or experimental model as organoids; organic as polymers and plastics, biopolymers textiles, food product, etc.; or inorganic such as ceramics, semiconductors, coatings, geological samples, etc.) using advanced optical imaging technologies. The work will involve some of these imaging technologies: hyperspectral, OCT (Optical Coherence Tomography), polarization sensitive OCT, SFDI (Spatial Frequency Domain Imaging) and Mueller imaging to capture multidimensional structural and spectral information. Statistical and AI based post processing methods will be explored to improve data interpretation and develop robust analytical tools.

Keywords
optical properties
imaging
material assessment
artificial intelligence
diagnosis
ERC sector(s)
PE Physical Sciences and Engineering
Fields of study
Electrical Electronic and Computer Engineering
Materials science
Math and Computer Science
Others
Physics and Astronomy
Thesis supervisor
Name supervisor
Olga M Conde Portilla
E-mail
eunice@unican.es
Department/Faculty/School/Institute/Area/Division NAME
Department of Electronic Technology, Systems and Automation Engineering (TEISA)
Name of the host University
University of Cantabria (UC)
EUNICE partner e-mail of destination Research
area.eunice@unican.es
Country
Spain
Student profile
Thesis level
Bachelor
Master
PhD
Minimal language knowledge requisite
English B2
Additional info
Length of the research internship
3 months
Financial support available (other than E+)
Maybe
Research interests for cooperation opportunities
Characterization of biological (tissue, organoids…), organic, and inorganic materials using advanced optical imaging (HSI, OCT, PS-OCT, SFDI, Mueller imaging) and statistical/AI‑based post‑processing