This thesis work aims to study microplastics dispersed in water and how to estimate and quantify them using hyper and multi spectral imaging techniques. Thanks to the acquisition of images at eight different wavelengths, it is possible to assess the principal components and to operate an identification of the existing species and their relative abundaces through the use of covariance and variance analysis. This procedure is also carried out through experimental-design approaches applied to plastics that differ in nature for their composition and shape. The student will gain knowledge in the field of Statistics applied to Physics, with a major focus on plastics detection in both macro and micro dimensions. The thesis is experimental and based on data analysis. It requires laboratory sessions to gather expertise in hyperspectral and multispectral imaging. The thesis work will take place at the Optics and Opto-microfluidics laboratories in the Department of Physics and Astronomy.
Il lavoro di tesi consiste nell'indagine di microplastiche disperse in acqua e la relativa stima e quantificazione mediante imaging iper e multi spettrale. Dall'acquisizione di immagini a 8 lunghezze d'onda diverse, attraverso l'analisi di covarianza e varianza è possibile stimare le componenti principali e operare un'identificazione delle specie presenti e relativa abbondanza anche sfruttando approcci di experimental design applicato a plastiche di natura diversa sia per composizione che forma. Il laureando apprenderà conoscenze in ambito statistico applicato alla fisica, con particolare riferimento alla rilevazione di plastiche in dimensionalità macro e microscopica. La tesi è di natura sperimentale e di analisi dati, prevedendo sedute di laboratorio dove acquisire competenze in imaging multispettrale e iperspettrale. Il lavoro di tesi si svolgerà presso i laboratori di ottica e opto-microfluidica in Dipartimento di Fisica e Astronomia.
Imaging multispettrale per l'analisi di microplastiche disperse in acqua
LEGNARO, REBECCA
2022/2023
Abstract
This thesis work aims to study microplastics dispersed in water and how to estimate and quantify them using hyper and multi spectral imaging techniques. Thanks to the acquisition of images at eight different wavelengths, it is possible to assess the principal components and to operate an identification of the existing species and their relative abundaces through the use of covariance and variance analysis. This procedure is also carried out through experimental-design approaches applied to plastics that differ in nature for their composition and shape. The student will gain knowledge in the field of Statistics applied to Physics, with a major focus on plastics detection in both macro and micro dimensions. The thesis is experimental and based on data analysis. It requires laboratory sessions to gather expertise in hyperspectral and multispectral imaging. The thesis work will take place at the Optics and Opto-microfluidics laboratories in the Department of Physics and Astronomy.File | Dimensione | Formato | |
---|---|---|---|
Legnaro_Rebecca.pdf
accesso riservato
Dimensione
27.29 MB
Formato
Adobe PDF
|
27.29 MB | Adobe PDF |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
https://hdl.handle.net/20.500.12608/48894