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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Main Authors: Marc Gardegaront, Delphine Farlay, Olivier Peyruchaud, Hélène Follet
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2018/4131029
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spelling 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
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AT olivierpeyruchaud automationofthepeakfittingmethodinboneftirmicrospectroscopyspectrumanalysishumanandmicebonestudy
AT helenefollet automationofthepeakfittingmethodinboneftirmicrospectroscopyspectrumanalysishumanandmicebonestudy
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