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第9章. 血管生成研究中的活体视频显微镜检查

Chapter 9. Intravital videomicroscopy in angiogenesis research.

作者信息

MacDonald Ian C, Chambers Ann F

机构信息

Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.

出版信息

Methods Enzymol. 2008;444:201-30. doi: 10.1016/S0076-6879(08)02809-7.

DOI:10.1016/S0076-6879(08)02809-7
PMID:19007666
Abstract

Experimental studies on angiogenesis are clarifying many aspects of this important process and are leading to new approaches to use this information clinically. Histology of fixed tissues is a commonly used "gold standard" for assessing development of tumor vasculature during disease progression or changes in vasculature in response to genetic manipulation or therapy. However, histology provides only a static snapshot-in-time of vascular status, and can provide only limited information about vessel function or dynamics. Here we describe microscopy techniques and image processing approaches for using intravital video microscopy (IVVM) for the study of normal and tumor vascular morphology and function. IVVM provides powerful, high-resolution approaches for observing the vasculature in multiple organs or experimental animals. In addition to providing informative images, IVVM combined with video postprocessing and image analysis approaches can be used to extract valuable quantitative information from video images. This information includes morphological parameters such as vascular diameter, density, branching, and three-dimensional vascular geometry, as well as functional and physiological information such as the identification of vessels that are perfused with red blood cells (RBCs) or plasma, rate of RBC flow, and oxygen status of RBCs. An added strength of IVVM is the ability to provide longitudinal information, looking at changes in vascular morphology and function over time in individual animals. In this chapter, we describe methods and analytical approaches for using IVVM to study vascular morphology and dynamics.

摘要

关于血管生成的实验研究正在阐明这一重要过程的诸多方面,并催生了将这些信息应用于临床的新方法。固定组织的组织学检查是评估疾病进展过程中肿瘤血管系统发育或基因操作或治疗后血管系统变化的常用“金标准”。然而,组织学仅提供血管状态的静态即时快照,只能提供关于血管功能或动态的有限信息。在此,我们描述了利用活体视频显微镜(IVVM)研究正常和肿瘤血管形态及功能的显微镜技术和图像处理方法。IVVM为观察多个器官或实验动物中的血管系统提供了强大的高分辨率方法。除了提供信息丰富的图像外,IVVM与视频后处理和图像分析方法相结合,可用于从视频图像中提取有价值的定量信息。这些信息包括形态学参数,如血管直径、密度、分支和三维血管几何形状,以及功能和生理信息,如识别被红细胞(RBC)或血浆灌注的血管、RBC流速和RBC的氧状态。IVVM的另一个优势是能够提供纵向信息,观察个体动物血管形态和功能随时间的变化。在本章中,我们描述了使用IVVM研究血管形态和动态的方法及分析方法。

相似文献

1
Chapter 9. Intravital videomicroscopy in angiogenesis research.第9章. 血管生成研究中的活体视频显微镜检查
Methods Enzymol. 2008;444:201-30. doi: 10.1016/S0076-6879(08)02809-7.
2
A new video image analysis system to study red blood cell dynamics and oxygenation in capillary networks.一种用于研究毛细血管网络中红细胞动力学和氧合作用的新型视频图像分析系统。
Microcirculation. 2005 Sep;12(6):489-506. doi: 10.1080/10739680591003332.
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Breast cancer metastasis progression as revealed by intravital videomicroscopy.活体视频显微镜揭示的乳腺癌转移进展
Expert Rev Anticancer Ther. 2006 Sep;6(9):1271-9. doi: 10.1586/14737140.6.9.1271.
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Chapter 13. Oxygen as a direct and indirect biological determinant in the vasculature.第13章. 氧气作为血管系统中直接和间接的生物学决定因素
Methods Enzymol. 2008;444:285-304. doi: 10.1016/S0076-6879(08)02813-9.
5
Automated method for tracking individual red blood cells within capillaries to compute velocity and oxygen saturation.用于追踪毛细血管内单个红细胞以计算速度和氧饱和度的自动化方法。
Microcirculation. 2005 Sep;12(6):507-15. doi: 10.1080/10739680591003341.
6
Intravital imaging of tumour vascular networks using multi-photon fluorescence microscopy.使用多光子荧光显微镜对肿瘤血管网络进行活体成像。
Adv Drug Deliv Rev. 2005 Jan 2;57(1):135-52. doi: 10.1016/j.addr.2004.07.015.
7
In vivo characterization of tumor and tumor vascular network using multi-modal imaging approach.采用多模态成像方法对肿瘤及其血管网络进行体内特征描述。
J Biophotonics. 2011 Sep;4(9):645-9. doi: 10.1002/jbio.201100033. Epub 2011 Jun 28.
8
Semiautomatic quantification of angiogenesis.半自动血管生成定量分析。
J Surg Res. 2010 Jul;162(1):132-9. doi: 10.1016/j.jss.2008.12.009. Epub 2009 Jan 3.
9
Chapter 8. Noninvasive imaging of blood vessels.第8章. 血管的无创成像
Methods Enzymol. 2008;444:175-99. doi: 10.1016/S0076-6879(08)02808-5.
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Chapter 6. Ocular models of angiogenesis.第6章. 血管生成的眼部模型。
Methods Enzymol. 2008;444:115-58. doi: 10.1016/S0076-6879(08)02806-1.

引用本文的文献

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Detecting Tumor Metastases: The Road to Therapy Starts Here.检测肿瘤转移:治疗之路始于此。
Adv Cancer Res. 2016;132:1-44. doi: 10.1016/bs.acr.2016.07.001. Epub 2016 Aug 17.
2
A perspective on vascular disrupting agents that interact with tubulin: preclinical tumor imaging and biological assessment.一种与微管蛋白相互作用的血管破坏剂的观点:临床前肿瘤成像和生物学评估。
Integr Biol (Camb). 2011 Apr;3(4):375-87. doi: 10.1039/c0ib00135j. Epub 2011 Feb 14.
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Automatic identification of angiogenesis in double stained images of liver tissue.
自动识别肝组织双重染色图像中的血管生成。
BMC Bioinformatics. 2009 Oct 8;10 Suppl 11(Suppl 11):S13. doi: 10.1186/1471-2105-10-S11-S13.