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参考样本法减少了傅里叶变换红外成像中因冷冻切片厚度变化而引起的误差。

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

作者信息

Rieppo Jarno, Hyttinen Mika M, Jurvelin Jukka S, Helminen Heikki J

机构信息

Department of Anatomy, University of Kuopio, Kuopio, Finland.

出版信息

Appl Spectrosc. 2004 Jan;58(1):137-40. doi: 10.1366/000370204322729577.

DOI:10.1366/000370204322729577
PMID:14727731
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.

摘要

傅里叶变换红外成像(FT-IRI)是一种用于表征生物组织(如关节软骨)生化成分的新技术。在FT-IRI中,使用冷冻切片更为可取。不幸的是,切片厚度的显著差异常常会影响冷冻切片用于FT-IRI定量分析的适用性。本研究引入了一种用于定量分析的廉价参考样品方法。在该技术中,样品的吸收通过与嵌入样品并一起进行冷冻切片的硝酸纤维素膜的吸收进行归一化。在未进行归一化的情况下,5微米、10微米和14微米厚的软骨标本红外吸收的平均变化分别为11.5%、12.1%和20.6%。对于相同的切片,归一化后分别将变化降低至5.2%、4.0%和4.6%。该归一化方法使得冷冻切片能够用于定量工作,并显著降低了FT-IRI分析所需的成本和时间。

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