Mouse Liver Imaging
Mouse Liver Imaging - Related Videos
04:09
Imaging Fixture Supported Mouse Liver Staging for Multiphoton Microscopy Based Vascular Visualization: A Stabilization Device-assisted Imaging Technique to Obtain Multi-dimensional Images of Blood Vessels in Mouse Liver
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2025
This video describes an imaging procedure to observe and study intravascular dynamics of a mouse liver tissue using multiphoton microscopy following stabilization of the organ. Multiphoton microscopy enables the imaging of biological tissue at high spatial resolution in vivo.
09:08
Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
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Cited by 59 •
2011
Magnetic resonance imaging (MRI) has become an increasingly popular tool for examining the phenotype of genetically altered mice. This article illustrates the methods necessary to achieve high-throughput phenotyping of genetically altered mice using multiple-mouse MRI.
03:42
Isolation of Marginating Hepatic Leukocytes from a Mouse Liver
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2025
In this video, we demonstrate the isolation of marginating hepatic leukocytes from mouse liver by forced perfusion.
10:48
Intravital Microscopy Imaging of the Liver following Leishmania Infection: An Assessment of Hepatic Hemodynamics
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Cited by 10 •
2015
This article reports on a detailed method for the dynamic measurement and quantification of blood flow velocity within individual blood vessels of the mouse liver vasculature using intravital microscopy imaging in combination with a specific methodology for image acquisition and analysis.
11:44
Generation of a Humanized Mouse Liver Using Human Hepatic Stem Cells
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Cited by 3 •
2016
Here, we present a novel humanized mouse liver model generated in Alb-toxin receptor mediated cell knockout (TRECK)/SCID mice following the transplantation of immature and expandable human hepatic stem cells.
FAQs
The methods distinguish liver features through different measurable signals. Ultrasound can depict tissue structure and motion, whereas magnetic resonance imaging and computed tomography provide complementary information about tissue composition or anatomical change. Intravital microscopy adds cellular-scale visualization through fluorescent signals. Selecting among them, or combining them, allows investigators to relate organ-level structure to blood flow, metabolism, or cellular activity.
Patterns of contrast-agent distribution can reveal how a signal is delivered through or localized within liver tissue. These measurements complement direct visualization of anatomy by adding information about physiological processes and tissue characteristics. Comparing distribution over time can therefore help investigators assess disease progression, treatment responses, or changes associated with liver function without relying only on structural measurements.
Intravital microscopy provides access to fluorescent signals from living liver tissue, supporting observation of cellular and physiological activity in its biological setting. This perspective complements whole-organ imaging methods that emphasize structure, composition, motion, or contrast distribution. It is particularly useful when a study needs to connect changes visible at the organ level with mechanisms occurring among individual cells.
Combining methods is useful when one imaging signal cannot capture all relevant features of a biological process. For example, anatomical information from ultrasound, magnetic resonance imaging, or computed tomography can be interpreted alongside fluorescent cellular signals or contrast-agent distribution. This multimodal strategy strengthens interpretation by linking structural changes with blood flow, metabolism, cellular activity, and disease progression.
Repeated imaging allows investigators to follow the same living animals across stages of liver development, regeneration, fibrosis, tumors, infection, or drug response. Because information can be collected without sacrificing animals at every time point, studies can track progression and change over time. This design helps connect earlier imaging findings with later biological outcomes while reducing animal use.
The approach can monitor how liver structure, blood flow, metabolism, or cellular activity changes during disease development and treatment. Applications include evaluating tumors, fibrosis, infection, regeneration, and responses to candidate drugs. By pairing imaging observations with biological mechanisms, researchers can assess whether an intervention is associated with altered progression or recovery rather than relying on a single endpoint.