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Quantitative zonal differentiation of articular cartilage by microscopic magnetic resonance imaging, polarized light microscopy, and Fourier-transform infrared imaging.基于微观磁共振成像、偏光显微镜和傅里叶变换红外成像的关节软骨定量分区。
Microsc Res Tech. 2013 Jun;76(6):625-32. doi: 10.1002/jemt.22209. Epub 2013 Mar 27.
2
Using magnetic resonance imaging to determine the compartmental prevalence of knee joint structural damage.使用磁共振成像确定膝关节结构损伤的节段性患病率。
Osteoarthritis Cartilage. 2013 May;21(5):695-9. doi: 10.1016/j.joca.2013.02.003. Epub 2013 Feb 18.
3
Quantitative parametric MRI of articular cartilage: a review of progress and open challenges.关节软骨的定量参数 MRI:进展与开放性挑战综述。
Br J Radiol. 2013 Mar;86(1023):20120163. doi: 10.1259/bjr.20120163.
4
Load-unloading response of intact and artificially degraded articular cartilage correlated with near infrared (NIR) absorption spectra.完整和人工退化的关节软骨的负荷-卸载响应与近红外(NIR)吸收光谱相关。
J Mech Behav Biomed Mater. 2013 Apr;20:249-58. doi: 10.1016/j.jmbbm.2012.11.022. Epub 2012 Dec 20.
5
T1ρ-MR imaging technique to distinguish four-layered zonal structure of articular cartilage for detecting early-onset osteoarthritis.T1ρ-MR 成像技术可区分关节软骨的四层分区结构,用于检测早期骨关节炎。
J Xray Sci Technol. 2012;20(4):437-46. doi: 10.3233/XST-2012-00350.
6
Cluster analysis of infrared spectra can differentiate intact and repaired articular cartilage.聚类分析红外光谱可以区分完整和修复的关节软骨。
Osteoarthritis Cartilage. 2013 Mar;21(3):462-9. doi: 10.1016/j.joca.2012.12.005. Epub 2012 Dec 23.
7
Infrared fiber optic probe evaluation of degenerative cartilage correlates to histological grading.红外光纤探头评估退行性软骨与组织学分级相关。
Am J Sports Med. 2012 Dec;40(12):2853-61. doi: 10.1177/0363546512462009. Epub 2012 Oct 29.
8
Fourier transform infrared spectroscopic imaging and multivariate regression for prediction of proteoglycan content of articular cartilage.傅里叶变换红外光谱成像和多元回归预测关节软骨中蛋白聚糖含量。
PLoS One. 2012;7(2):e32344. doi: 10.1371/journal.pone.0032344. Epub 2012 Feb 16.
9
Clustering of infrared spectra reveals histological zones in intact articular cartilage.红外光谱聚类显示完整关节软骨中的组织学分区。
Osteoarthritis Cartilage. 2012 May;20(5):460-468. doi: 10.1016/j.joca.2012.01.014. Epub 2012 Feb 1.
10
Application of second derivative spectroscopy for increasing molecular specificity of Fourier transform infrared spectroscopic imaging of articular cartilage.二阶导数光谱在增加傅里叶变换红外光谱成像关节软骨的分子特异性中的应用。
Osteoarthritis Cartilage. 2012 May;20(5):451-459. doi: 10.1016/j.joca.2012.01.010. Epub 2012 Jan 25.

关节软骨与生物材料的傅里叶变换红外光谱成像:综述

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

作者信息

Ramakrishnan Nagarajan, Xia Yang

机构信息

Infrared Group, Defence Laboratory, Jodhpur-342 011, India.

Department of Physics and Center for Biomedical Research, Oakland University, Rochester, MI 48309, USA.

出版信息

Trends Appl Spectrosc. 2013;10:1-23.

PMID:31693014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6830739/
Abstract

Fourier transform infrared spectroscopy (FTIR) has the potential to mark up the chemical changes of the materials, as almost all the materials contain their signatures in infrared region. Spectroscopy combined with spatial resolution enables the possibility of characterizing samples up to microscopic level. The emerging development of instrumentation to provide spatial information for infrared (IR) spectroscopy, termed as IR microscopy, provides an opening for newer applications in terms of image analysis, novel data processing tools, etc. Characterization of biomaterials using IR spectroscopy has a trace back to 1950s. The advent of FTIR with imaging capability made characterization possible in cartilage tissue and other biological systems. Extensive analysis of chemical constituents of cartilage and tendon, collagen orientation and polarization property of cartilage using FTIR imaging (FTIRI) has been actively explored during the last two decades. Also, studies using specialized instrumentations like synchrotron FTIR imaging have been attempted to understand the characteristics of biological samples like cartilage. This review covers most of those investigations on cartilage with FTIRI to characterize the same in terms of component characteristics and quantification, collagen orientation, zonal boundary determination, influence of mechanical compression on tissue nature and its correlation to other techniques in last 20 years.

摘要

傅里叶变换红外光谱(FTIR)有潜力标记材料的化学变化,因为几乎所有材料在红外区域都有其特征信号。光谱学与空间分辨率相结合,使得在微观层面表征样品成为可能。能够为红外(IR)光谱提供空间信息的仪器的新发展,即红外显微镜,为图像分析、新型数据处理工具等方面的新应用提供了契机。利用红外光谱对生物材料进行表征可追溯到20世纪50年代。具有成像能力的傅里叶变换红外光谱的出现,使得在软骨组织和其他生物系统中进行表征成为可能。在过去二十年中,人们积极探索利用傅里叶变换红外光谱成像(FTIRI)对软骨和肌腱的化学成分、软骨的胶原蛋白取向和偏振特性进行广泛分析。此外,还尝试使用同步加速器傅里叶变换红外光谱成像等专业仪器来了解软骨等生物样品的特性。这篇综述涵盖了过去20年中大多数利用FTIRI对软骨进行的研究,以便从成分特征和定量、胶原蛋白取向、区域边界确定、机械压缩对组织性质的影响及其与其他技术的相关性等方面对软骨进行表征。