Literature DB >> 19007666

Chapter 9. Intravital videomicroscopy in angiogenesis research.

Ian C MacDonald1, Ann F Chambers.   

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.

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Year:  2008        PMID: 19007666     DOI: 10.1016/S0076-6879(08)02809-7

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  3 in total

1.  A perspective on vascular disrupting agents that interact with tubulin: preclinical tumor imaging and biological assessment.

Authors:  Ralph P Mason; Dawen Zhao; Li Liu; Mary Lynn Trawick; Kevin G Pinney
Journal:  Integr Biol (Camb)       Date:  2011-02-14       Impact factor: 2.192

Review 2.  Detecting Tumor Metastases: The Road to Therapy Starts Here.

Authors:  M E Menezes; S K Das; I Minn; L Emdad; X-Y Wang; D Sarkar; M G Pomper; P B Fisher
Journal:  Adv Cancer Res       Date:  2016-08-17       Impact factor: 6.242

3.  Automatic identification of angiogenesis in double stained images of liver tissue.

Authors:  Mutlu Mete; Leah Hennings; Horace J Spencer; Umit Topaloglu
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

  3 in total

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