Multiple Mouse Imaging
Multiple Mouse 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.
08:11
Measuring Progressive Neurological Disability in a Mouse Model of Multiple Sclerosis
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Cited by 21 •
2016
An optimized testing protocol is presented in this paper for the Rotarod performance test, used for measuring progressive neurological disability in TMEV-infected mice.
09:52
Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
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Cited by 25 •
2013
Recently developed imaging techniques using near-infrared fluorescence (NIRF) may help elucidate the role the lymphatic system plays in cancer metastasis, immune response, wound repair, and other lymphatic-associated diseases.
03:27
Isolation of Multiple Cell Types from a Mouse Brain by Mechanical Homogenization
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2025
This video demonstrates the isolation of multiple types of cells from mouse brain tissue. Tissue is first mechanically sheared using a tissue grinder in a salt solution to maintain an osmotic balance. The tissue homogenate is then subjected to density gradient centrifugation to remove cellular debris. Cells are then resuspended in a solution for further analysis.
08:05
Bioluminescence and Near-infrared Imaging of Optic Neuritis and Brain Inflammation in the EAE Model of Multiple Sclerosis in Mice
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Cited by 4 •
2017
We show a technique for in vivo live bioluminescence and near-infrared imaging of optic neuritis and encephalitis in the experimental autoimmune encephalomyelitis (EAE) model for multiple sclerosis in SJL/J mice.
FAQs
Comparability depends on coordinating three elements: animal positioning, imaging conditions, and image acquisition across subjects. Keeping these aspects consistent helps researchers distinguish biological differences between mice from differences introduced by the imaging workflow. This consistency is especially important when comparing neural structure or activity across animals under the same experimental setting.
Processing several animals within one imaging workflow can increase throughput while reducing variability between separate experiments. The resulting dataset includes measurements collected under more closely matched conditions, which can support stronger statistical analyses. This design is useful when researchers need to evaluate patterns across animals rather than relying on observations from isolated imaging sessions.
Repeated imaging allows researchers to follow changes in the same experimental context over time. Instead of examining only a single time point, investigators can track evolving neural structure or activity and relate those changes to disease progression or treatment effects. This temporal perspective can reveal whether an observed response persists, develops, or changes during a study.
A basic workflow requires coordinated animal positioning, imaging conditions, and image acquisition across the mice being studied. These elements should be arranged so that measurements are collected under consistent experimental settings. Aligning them improves the comparability of neural structure or activity measurements and helps limit differences caused by the procedure rather than by the biology under investigation.
The approach is useful when a study must compare several animals while examining brain function, disease progression, behavioral responses, or treatment effects. It can also support experiments that require repeated measurements over time. By combining parallel data collection with consistent conditions, investigators can examine biological variation and shared responses across the study population.
Multiple Mouse Imaging can produce comparative measurements of neural structure or activity across several animals. Depending on the study design, those measurements may be used to examine brain function, responses associated with behavior, progression of disease-related changes, or effects of treatment. Because the data come from a coordinated workflow, researchers can analyze patterns across subjects with reduced between-experiment variability.