Automated Spectral Identification of Materials using Spectral Identity Mapping

Automated Spectral Identification of Materials using Spectral Identity Mapping

Bibliographic Details
Main Author: Cannon, Robert William
Language:English
Published: Cleveland State University / OhioLINK 2013
Subjects:
Chemistry
Computer Science
Materials Science
Mineralogy
Raman
spectroscopy
Spectral Idenitity Mapping
multivariate analysis
hyperspectral analysis
minerals
imaging
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=csu1377031729
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-csu13770317292021-08-03T06:19:10Z Automated Spectral Identification of Materials using Spectral Identity Mapping Cannon, Robert William Chemistry Computer Science Materials Science Mineralogy Raman spectroscopy Spectral Idenitity Mapping multivariate analysis hyperspectral analysis minerals imaging With increased use of Raman spectroscopic instrumentation for material analysis there has also been an increase in the amount of acquired Raman spectral data. Because of this, there is a clear need to develop and implement advanced spectral analysis techniques. This is especially true in cases where limited reference data may be available and large data sets need to be interpreted. Raman spectral analysis and standardization techniques, along with a foundation for a comprehensive repository of Raman spectral data, will be described in this thesis. The main focus will be automated analysis and standardization of Raman spectral data using spectral identity mapping (SIM). In addition, details on how to promote widespread access to the analyzed data and SIM techniques will be given. SIM, a statistical spectral analysis method, is useful as either a stand-alone data classification method or as a factor analysis step that precedes other multivariate approaches. SIM for calibrating spectra utilizes multivariate processing algorithms that can differentiate spectra according to the intrinsic nature of their spectral shapes. SIM also enables spectral identity mapping to be performed on unknown samples by calculating a set of scores giving the most likely match for given set of spectral information. A SIM database of calibrated spectra and a proposal to utilize SIM matching algorithms via the internet was developed. There are currently few searchable databases available for Raman spectral data. Also, while there are many internet platforms available to publish spectra, some can be difficult to implement and most do not provide data to users in a way that is educational, engaging and fully oriented to the Raman community.The software libraries given here provide a set of tools for data-basing, searching and interpreting spectral data while encouraging user/client participation in order to grow the spectral libraries. The hope is that the SIM results and the database developed here will promote SIM for more extensive use in future Raman spectra analyses as well as other forms of spectral data analyses. 2013-08-23 English text Cleveland State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=csu1377031729 http://rave.ohiolink.edu/etdc/view?acc_num=csu1377031729 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Chemistry
Computer Science
Materials Science
Mineralogy
Raman
spectroscopy
Spectral Idenitity Mapping
multivariate analysis
hyperspectral analysis
minerals
imaging
spellingShingle Chemistry
Computer Science
Materials Science
Mineralogy
Raman
spectroscopy
Spectral Idenitity Mapping
multivariate analysis
hyperspectral analysis
minerals
imaging
Cannon, Robert William
Automated Spectral Identification of Materials using Spectral Identity Mapping
author Cannon, Robert William
author_facet Cannon, Robert William
author_sort Cannon, Robert William
title Automated Spectral Identification of Materials using Spectral Identity Mapping
title_short Automated Spectral Identification of Materials using Spectral Identity Mapping
title_full Automated Spectral Identification of Materials using Spectral Identity Mapping
title_fullStr Automated Spectral Identification of Materials using Spectral Identity Mapping
title_full_unstemmed Automated Spectral Identification of Materials using Spectral Identity Mapping
title_sort automated spectral identification of materials using spectral identity mapping
publisher Cleveland State University / OhioLINK
publishDate 2013
url http://rave.ohiolink.edu/etdc/view?acc_num=csu1377031729
work_keys_str_mv AT cannonrobertwilliam automatedspectralidentificationofmaterialsusingspectralidentitymapping
_version_ 1719434567516946432

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