Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study
FTIR microspectroscopy (FTIRM) is a commonly used nondestructive method to characterise thin bone sections. However, spectrum analysis methods are often highly sensitive to small variations (e.g., boundary limits), thus implying a time-consuming and redundant analysis process. To solve this issue, s...
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Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2018/4131029 |
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doaj-bbcf4d419025473785b3dcc579c8bfa62020-11-25T00:09:19ZengHindawi LimitedJournal of Spectroscopy2314-49202314-49392018-01-01201810.1155/2018/41310294131029Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone StudyMarc Gardegaront0Delphine Farlay1Olivier Peyruchaud2Hélène Follet3INSERM, Université de Lyon, UMR1033, F-69008 Lyon, FranceINSERM, Université de Lyon, UMR1033, F-69008 Lyon, FranceINSERM, Université de Lyon, UMR1033, F-69008 Lyon, FranceINSERM, Université de Lyon, UMR1033, F-69008 Lyon, FranceFTIR microspectroscopy (FTIRM) is a commonly used nondestructive method to characterise thin bone sections. However, spectrum analysis methods are often highly sensitive to small variations (e.g., boundary limits), thus implying a time-consuming and redundant analysis process. To solve this issue, software has been developed based on several algorithms to automate the analysis. Furthermore, a rigorous framework has been established concerning the peak fitting method to obtain the systematic best potential solution. Validation of the automatic method has been performed by comparison with the manual method. Results and validation proved the reliability of the automatic process. The developed algorithms provide the means necessary to fully compare the results between bone FTIRM studies and between different laboratories.http://dx.doi.org/10.1155/2018/4131029 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marc Gardegaront Delphine Farlay Olivier Peyruchaud Hélène Follet |
spellingShingle |
Marc Gardegaront Delphine Farlay Olivier Peyruchaud Hélène Follet Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study Journal of Spectroscopy |
author_facet |
Marc Gardegaront Delphine Farlay Olivier Peyruchaud Hélène Follet |
author_sort |
Marc Gardegaront |
title |
Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study |
title_short |
Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study |
title_full |
Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study |
title_fullStr |
Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study |
title_full_unstemmed |
Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study |
title_sort |
automation of the peak fitting method in bone ftir microspectroscopy spectrum analysis: human and mice bone study |
publisher |
Hindawi Limited |
series |
Journal of Spectroscopy |
issn |
2314-4920 2314-4939 |
publishDate |
2018-01-01 |
description |
FTIR microspectroscopy (FTIRM) is a commonly used nondestructive method to characterise thin bone sections. However, spectrum analysis methods are often highly sensitive to small variations (e.g., boundary limits), thus implying a time-consuming and redundant analysis process. To solve this issue, software has been developed based on several algorithms to automate the analysis. Furthermore, a rigorous framework has been established concerning the peak fitting method to obtain the systematic best potential solution. Validation of the automatic method has been performed by comparison with the manual method. Results and validation proved the reliability of the automatic process. The developed algorithms provide the means necessary to fully compare the results between bone FTIRM studies and between different laboratories. |
url |
http://dx.doi.org/10.1155/2018/4131029 |
work_keys_str_mv |
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