Vascular Window
Vascular Window - Related Videos
09:44
Imaging Glioma Initiation In Vivo Through a Polished and Reinforced Thin-skull Cranial Window
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Cited by 12 •
2012
By combining a polished and reinforced thin-skull (PoRTS) cranial window and glioblastoma (GBM) cell injection, we can observe glioma initiation and growth from injected GBM cells in the brain of a live mouse longitudinally.
03:15
Calvarial Window Generation in Mouse Model: A Surgical Procedure to Create Window in the Top Part of the Mouse Skull
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2023
In this video, we describe the surgical procedure to create a calvarial window for accessing the brain of a mouse model.
08:41
Femur Window Chamber Model for In Vivo Cell Tracking in the Murine Bone Marrow
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Cited by 8 •
2016
The protocol describes a novel murine femur window chamber model that can be used to track movement of cells in the femoral bone marrow in vivo. Intravital multiphoton fluorescence microscopy is used to image three components of the femoral bone marrow (vasculature, collagen matrix, and neutrophils) over time.
15:01
Windowing Chicken Eggs for Developmental Studies
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Cited by 37 •
2007
The ease of accessibility of the embryo has allowed for experiments to map cell fates using several approaches, including chick quail chimeras and focal dye labeling. In this article we demonstrate one egg preparation method that has been optimized for long survival times.
07:19
Long-term High-Resolution Intravital Microscopy in the Lung with a Vacuum Stabilized Imaging Window
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Cited by 32 •
2016
This protocol describes the use of multiphoton microscopy to perform long-term high-resolution, single cell imaging of the intact lung in real time using a vacuum stabilized imaging window.
FAQs
Its main experimental value is longitudinal observation: the same vascularized region can be imaged repeatedly in a living animal, allowing investigators to follow changes rather than relying only on separate endpoint samples. Serial views can reveal how tumor-associated vessels and blood flow evolve over time, connecting vascular behavior with disease progression or treatment response.
Fluorescently labeled tumor and vascular cells allow microscopy to distinguish cellular populations within the imaged tissue. This makes it possible to examine tumor-vessel interactions directly and relate cellular positions or behavior to blood flow, vessel permeability, angiogenesis, and immune-cell trafficking. The resulting observations connect visible cellular dynamics with changes in the tumor microenvironment.
Researchers can monitor several linked vascular processes, including blood flow, vessel permeability, and angiogenesis, meaning blood-vessel growth. Examining these features together helps show how the vascular environment changes around tumors and how those changes relate to tumor progression. It also provides a basis for evaluating treatments intended to alter perfusion or blood-vessel growth.
The workflow begins with surgical implantation of the chamber over or around vascularized tissue, followed by optical microscopy through the accessible area. Fluorescently labeled tumor and vascular cells can then be observed repeatedly in the living animal. Comparing images over time enables investigators to track evolving blood-vessel behavior, immune-cell trafficking, and tumor responses without repeatedly removing tissue.
This model is useful when investigators need to observe how therapy changes tumor perfusion, vessel permeability, or blood-vessel growth over time. Repeated imaging can associate vascular changes with treatment response rather than capturing only a single endpoint. It therefore supports assessment of therapies that affect the tumor vasculature and helps relate those effects to disease progression.
Repeated imaging shows how tumor, vascular, and immune-cell behavior changes within the same living context. That temporal information helps investigators connect immune-cell trafficking and tumor-vessel interactions with evolving vascular conditions, treatment response, or disease progression. Because fewer separate endpoint samples are needed, the model emphasizes dynamic relationships that a single observation may not reveal.