Publication Date
2016
Document Type
Thesis
Committee Members
David Dolson (Committee Member), Michael Raymer (Committee Member), Ioana Sizemore (Advisor)
Degree Name
Master of Science (MS)
Abstract
Vespucci is a software application developed for imaging and analysis of hyperspectral datasets. Vespucci offers several advantages over other software packages, including a simple user interface, no cost, and less restrictive licensing. Vespucci incorporates several analysis techniques including univariate imaging, principal components analysis, partial-least-squares regression, vertex components analysis and k- means clustering. Additionally, Vespucci can perform a number of useful data-processing operations, including filtering, normalization, baseline correction, and background subtraction. Datasets that consist of spatial or temporal data with a corresponding digital signal, including spectroscopic images, mass spectrometric images, and X-ray diffraction data can be processed in this software. The use of Vespucci in Raman and surface- enhanced Raman spectroscopies has been successfully demonstrated to examine the interaction of silver nanoparticles with corundum and Dengue virus virions. A manuscript detailing Vespucci has been published in the Journal of Open Research Software (http://openresearchsoftware.metajnl.com/articles/10.5334/jors.91/). More information about Vespucci will be available at http://vespucciproject.org.
Page Count
99
Department or Program
Department of Chemistry
Year Degree Awarded
2016
Copyright
Copyright 2016, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may be modified only if the modified version is distributed with these same permissions. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
