Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study
Joint Authors
Gardegaront, Marc
Farlay, Delphine
Peyruchaud, Olivier
Follet, Hélène
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gardegaront, Marc& Farlay, Delphine& Peyruchaud, Olivier& Follet, Hélène. 2018. Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study. Journal of Spectroscopy،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1202511
Modern Language Association (MLA)
Gardegaront, Marc…[et al.]. Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study. Journal of Spectroscopy No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1202511
American Medical Association (AMA)
Gardegaront, Marc& Farlay, Delphine& Peyruchaud, Olivier& Follet, Hélène. Automation of the Peak Fitting Method in Bone FTIR Microspectroscopy Spectrum Analysis: Human and Mice Bone Study. Journal of Spectroscopy. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1202511
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202511