Publication Date


Document Type


Committee Members

David Dolson (Committee Member), Michael Raymer (Committee Member), Ioana Sizemore (Advisor)

Degree Name

Master of Science (MS)


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 ( More information about Vespucci will be available at

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Department or Program

Department of Chemistry

Year Degree Awarded


Creative Commons License

Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Included in

Chemistry Commons