Mouse Model Imaging
Mouse Model Imaging - Related Videos
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.
10:02
High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes
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Cited by 6 •
2015
This protocol describes the application of high-frequency ultrasound (HFUS) for imaging mouse cervical lymph nodes. This technique optimizes visualization and quantification of cervical lymph node morphology, volume and blood flow. Image-guided biopsy of cervical lymph nodes and processing of lymph tissue for histological evaluation is also demonstrated.
09:18
Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
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2026
This protocol uses a multichamber bed for parallel magnetic resonance imaging (MRI) of up to four animals to detect pancreatic adenocarcinoma tumors in genetically engineered mouse models. This multianimal MRI protocol is fast and cost-effective for detecting and measuring tumors, facilitating animal selection for preclinical studies and longitudinal monitoring of tumor growth.
02:27
Bioluminescence Imaging in an EAE Mouse Model
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2025
Source: Schmitz, K., et al., Bioluminescence and Near-infrared Imaging of Optic Neuritis and Brain Inflammation in the EAE Model of Multiple Sclerosis in Mice. J. Vis. Exp. (2017).This video demonstrates the method for visualizing and monitoring Experimental Autoimmune Encephalomyelitis or EAE-induced inflammation in the optic nerve using bioluminescence imaging. It includes positioning the mouse, reagent injection, and capturing sequential images to monitor changes in bioluminescence over time.
07:46
In vivo Imaging and Therapeutic Treatments in an Orthotopic Mouse Model of Ovarian Cancer
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Cited by 39 •
2010
Orthotopic animal models of ovarian cancer replicate better human disease and therefore enhance our understanding of cancer progression and tumor response to therapy. A mouse model receives an intrabursal injection of luciferase-expressing ovarian tumor cells. Treatment is administered via oral gavage. Tumor growth is monitored by in vivo imaging system.
FAQs
Each modality converts a different physical interaction into an image: optical imaging detects light emission, magnetic resonance imaging relies on interactions with magnetic fields, computed tomography distinguishes tissues by X-ray attenuation, and ultrasound uses reflected sound waves. These differences determine what type of anatomical, physiological, or disease-related information researchers can investigate in a mouse model.
Selection should follow the research question and the feature that must be monitored. Optical imaging may support tracking of labeled cells, whereas magnetic resonance imaging, computed tomography, or ultrasound may be chosen when the study requires signals based on magnetic interactions, X-ray attenuation, or reflected sound. The selected method should match the engineered material, device, therapy, or biological response under evaluation.
Repeated imaging allows researchers to monitor an implanted material, labeled cell population, tissue response, or treatment effect in the same animal over time. This reveals changes during disease progression or therapy evaluation rather than providing only a single endpoint measurement. For engineering studies, the approach helps connect design features with evolving biological performance during preclinical testing.
A practical workflow begins by identifying whether the study must visualize anatomy, physiology, disease progression, an implanted material, labeled cells, or treatment effects. Researchers then select a modality whose signal-generation mechanism fits that goal, acquire images at relevant stages, and compare findings over time. This sequence supports interpretation of how the engineered intervention performs in the biological system.
Imaging can track an implanted material or device while also revealing associated tissue responses. By collecting observations during the study, researchers can relate the engineered design to biological changes and disease progression instead of relying exclusively on endpoint analysis. This makes imaging useful for preclinical evaluation of whether a biomaterial or device produces the intended in vivo response.
Mouse model imaging can document treatment effects, follow disease progression, and assess responses in the same animal across multiple observations. It may also support tracking of labeled cells used in an engineered therapeutic strategy. These outcomes help researchers determine how biological changes develop over time and provide evidence for preclinical validation of the therapy.