Suppr超能文献

解读 C-H 伸缩区域内组织的 CARS 图像。

Interpreting CARS images of tissue within the C-H-stretching region.

机构信息

Institute of Photonic Technology e.V., Albert-Einstein-Straße 9, 07745 Jena, Germany.

出版信息

J Biophotonics. 2012 Oct;5(10):729-33. doi: 10.1002/jbio.201200104. Epub 2012 Jul 20.

Abstract

Single band coherent anti-Stokes Raman scattering (CARS) microscopy is one of the fastest implementation of nonlinear vibrational imaging allowing for video-rate image acquisition of tissue. This is due to the large Raman signal in the C-H-stretching region. However, the chemical specificity of such images is conventionally assumed to be low. Nonetheless, CARS imaging within the C-H-stretching region enables detection of single cells and nuclei, which allows for histopathologic grading of tissue. Relevant information such as nucleus to cytoplasm ratio, cell density, nucleus size and shape is extracted from CARS images by innovative image processing procedures. In this contribution CARS image contrast within the C-H-stretching region is interpreted by direct comparison with Raman imaging and correlated to the tissue composition justifying the use of CARS imaging in this wavenumber region for biomedical applications.

摘要

单频相干反斯托克斯拉曼散射(CARS)显微镜是最快的非线性振动成像实现方法之一,可实现组织的视频速率图像采集。这是由于在 C-H 伸缩区域中存在较大的拉曼信号。然而,传统上认为此类图像的化学特异性较低。尽管如此,在 C-H 伸缩区域内进行 CARS 成像可以检测到单个细胞和细胞核,从而可以对组织进行组织病理学分级。通过创新的图像处理程序,可以从 CARS 图像中提取核质比、细胞密度、细胞核大小和形状等相关信息。在本研究中,通过与拉曼成像的直接比较,对 C-H 伸缩区域内的 CARS 图像对比度进行了解释,并与组织成分相关联,证明了在该波数范围内将 CARS 成像用于生物医学应用的合理性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验