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组织支架特性的扫描探针识别显微镜研究

Scanning probe recognition microscopy investigation of tissue scaffold properties.

作者信息

Fan Yuan, Chen Qian, Ayres Virginia M, Baczewski Andrew D, Udpa Lalita, Kumar Shiva

机构信息

Electronic and Biological Nanostructures Laboratory, College of Engineering, Michigan State University, East Lansing, MI, USA.

出版信息

Int J Nanomedicine. 2007;2(4):651-61.

Abstract

Scanning probe recognition microscopy is a new scanning probe microscopy technique which enables selective scanning along individual nanofibers within a tissue scaffold. Statistically significant data for multiple properties can be collected by repetitively fine-scanning an identical region of interest. The results of a scanning probe recognition microscopy investigation of the surface roughness and elasticity of a series of tissue scaffolds are presented. Deconvolution and statistical methods were developed and used for data accuracy along curved nanofiber surfaces. Nanofiber features were also independently analyzed using transmission electron microscopy, with results that supported the scanning probe recognition microscopy-based analysis.

摘要

扫描探针识别显微镜是一种新型扫描探针显微镜技术,它能够沿着组织支架内的单个纳米纤维进行选择性扫描。通过对同一感兴趣区域进行重复精细扫描,可以收集多个特性的具有统计学意义的数据。本文展示了对一系列组织支架的表面粗糙度和弹性进行扫描探针识别显微镜研究的结果。开发了去卷积和统计方法,并用于沿弯曲纳米纤维表面的数据准确性。还使用透射电子显微镜对纳米纤维特征进行了独立分析,结果支持基于扫描探针识别显微镜的分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13c0/2676826/0af9aa23e47a/ijn-2-651f1.jpg

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