Literature DB >> 14727731

Reference sample method reduces the error caused by variable cryosection thickness in Fourier transform infrared imaging.

Jarno Rieppo1, Mika M Hyttinen, Jukka S Jurvelin, Heikki J Helminen.   

Abstract

Fourier transform infrared imaging (FT-IRI) is a novel technique for characterization of the biochemical composition of biological tissues, e.g., articular cartilage. The use of cryosections is preferred in FT-IRI. Unfortunately, significant variation in section thickness often impairs the suitability of cryosections for quantitative FT-IRI analysis. The present study introduces an inexpensive reference sample method for quantitative analysis. In this technique, specimen absorption is normalized with that of nitrocellulose membrane embedded and cryosectioned with the sample. Mean variation of the infrared absorption in cartilage specimens was 11.5%, 12.1%, and 20.6% for 5 microm, 10 microm, and 14 microm thick sections, respectively, without normalization. Normalization reduced the variation to 5.2%, 4.0%, and 4.6% for the same sections, respectively. The normalization method enables usage of cryosections for quantitative work and significantly reduces the cost and time needed for FT-IRI analysis.

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Year:  2004        PMID: 14727731     DOI: 10.1366/000370204322729577

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  8 in total

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Authors:  Jianhua Yin; Yang Xia
Journal:  Appl Spectrosc       Date:  2010-11       Impact factor: 2.388

2.  Fourier-transform infrared spectroscopic imaging of articular cartilage and biomaterials: A review.

Authors:  Nagarajan Ramakrishnan; Yang Xia
Journal:  Trends Appl Spectrosc       Date:  2013

3.  Fourier transform infrared imaging and MR microscopy studies detect compositional and structural changes in cartilage in a rabbit model of osteoarthritis.

Authors:  Xiaohong Bi; Xu Yang; Mathias P G Bostrom; Dorota Bartusik; Sharan Ramaswamy; Kenneth W Fishbein; Richard G Spencer; Nancy Pleshko Camacho
Journal:  Anal Bioanal Chem       Date:  2006-12-02       Impact factor: 4.142

4.  The depth-dependent anisotropy of articular cartilage by Fourier-transform infrared imaging (FTIRI).

Authors:  Y Xia; N Ramakrishnan; A Bidthanapally
Journal:  Osteoarthritis Cartilage       Date:  2007-02-20       Impact factor: 6.576

5.  Molecular and morphological adaptations in compressed articular cartilage by polarized light microscopy and Fourier-transform infrared imaging.

Authors:  Y Xia; H Alhadlaq; N Ramakrishnan; A Bidthanapally; F Badar; M Lu
Journal:  J Struct Biol       Date:  2008-06-27       Impact factor: 2.867

6.  Postnatal development of depth-dependent collagen density in ovine articular cartilage.

Authors:  Mark C van Turnhout; Henk Schipper; Barend van Lagen; Han Zuilhof; Sander Kranenbarg; Johan L van Leeuwen
Journal:  BMC Dev Biol       Date:  2010-10-22       Impact factor: 1.978

7.  Fourier transform infrared spectroscopic imaging and multivariate regression for prediction of proteoglycan content of articular cartilage.

Authors:  Lassi Rieppo; Jarno Rieppo; Jukka S Jurvelin; Simo Saarakkala
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

8.  Female Mice Lacking Estrogen Receptor-α in Hypothalamic Proopiomelanocortin (POMC) Neurons Display Enhanced Estrogenic Response on Cortical Bone Mass.

Authors:  H H Farman; S H Windahl; L Westberg; H Isaksson; E Egecioglu; E Schele; H Ryberg; J O Jansson; J Tuukkanen; A Koskela; S K Xie; L Hahner; J Zehr; D J Clegg; M K Lagerquist; C Ohlsson
Journal:  Endocrinology       Date:  2016-06-02       Impact factor: 4.736

  8 in total

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