Tumor Vasculature Quantification
Tumor Vasculature Quantification - Related Videos
08:52
Intravital Microscopy of Tumor-associated Vasculature Using Advanced Dorsal Skinfold Window Chambers on Transgenic Fluorescent Mice
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Cited by 32 •
2018
This protocol describes the intravital imaging of transgenic mice expressing cell-specific fluorescent markers. Intravital imaging provides a non-invasive method for high-resolution observations in living animals using implantable windows through which the microscopic visualization of processes is possible. This method is especially useful to study longitudinal processes.
05:54
Quantification of Diabetes-induced Adherent Leukocytes in Retinal Vasculature
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2025
We demonstrate a method to label the walls of the retinal vasculature and adherent leukocytes. These adherent leukocytes can then be counted under a fluorescence microscope as a parameter of inflammation or the response of that inflammation to therapies.
09:03
Monitoring Functionality and Morphology of Vasculature Recruited by Factors Secreted by Fast-growing Tumor-generating Cells
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Cited by 7 •
2014
We describe a matrigel plug assay to illustrate angiogenic potential of a pool of factors secreted by cancer cells using two complementary imaging modalities, ultrasound and endomicroscopy. The matrigel, an extracellular matrix (ECM)-mimic gel, is utilized to introduce the host (mouse) with angiogenic factors secreted to the conditioned media...
10:31
The Drosophila Imaginal Disc Tumor Model: Visualization and Quantification of Gene Expression and Tumor Invasiveness Using Genetic Mosaics
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Cited by 11 •
2016
This protocol demonstrates how to generate fluorescently marked, genetically defined clonal tumors in the Drosophila eye/antennal imaginal discs (EAD). It describes how to dissect the EAD and brain from the third instar larvae and how to process them to visualize and quantify gene expression changes and tumor invasiveness.
07:03
Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound
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2024
Ultrafast Doppler ultrasound (UFUS) with high spatial resolution (100 μm) and sensitivity represents a suitable noninvasive imaging modality for obtaining a comprehensive qualitative overview of the hepatic vasculature. UFUS also facilitates quantitative measurements of the microvasculature, aiming to enhance our understanding of vascular disease mechanisms.
FAQs
These measurements describe different aspects of vascular architecture rather than a single vascular state. Vessel density indicates how extensively vessels are distributed, while diameter and branching capture structural variation within the network. Examining them together helps researchers characterize abnormal angiogenesis and distinguish changes in tumor organization across tumor types or experimental conditions.
Vessel location and arrangement add context that summary counts alone cannot provide. Quantifying spatial organization can show whether vessels are distributed in a consistent pattern or display irregular organization within the tumor. Combining this information with structural measurements helps relate tissue architecture to perfusion-related patterns and to the tumor’s access to oxygen and nutrients.
Researchers can compare vascular features measured under separate treatment conditions, including vessel density, diameter, branching, and spatial organization. Differences across these measurements provide a quantitative basis for evaluating how treatment alters tumor vasculature. This approach is especially relevant when studying antiangiogenic therapy and linking vascular changes with therapeutic response.
A basic workflow begins by using histological staining or imaging to identify blood vessels within tumor tissue. Researchers then calculate selected features, such as density, diameter, branching, and spatial organization, and compare the resulting measurements across samples or conditions. The chosen measurements should match the vascular question being investigated, such as treatment response or tissue architecture.
It is useful when researchers need measurable evidence of vascular change rather than relying only on overall tumor observations. Measurements collected before or after treatment, or across treatment conditions, can reveal differences in vessel structure and distribution. These data support assessment of antiangiogenic therapy and help connect vascular alterations with therapeutic outcomes.
Quantitative vascular data provide a way to connect tumor blood-vessel architecture with broader cancer processes. Because the measurements describe vessel distribution, structure, and perfusion-related patterns, they can support investigations of how vascular organization relates to hypoxia, metastasis, and drug delivery. In cancer research, this links tissue-level features with disease progression and treatment response.