Non-invasive Monitoring
Non-invasive Monitoring - Related Videos
01:37
Non-invasive Monitoring and Imaging in Animal Research
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2026
All animal procedures described here must be conducted in accordance with institutional animal ethics guidelines and approved by IACUC. All procedures must follow the principles of the 3Rs—Replacement, Reduction, and Refinement—and must be performed by trained personnel. Non-invasive technologies support the principles of 3Rs by enabling repeated data collection from the same animal without the need for euthanasia at multiple time points. These approaches reduce the number of animals required...
08:02
Fecal Glucocorticoid Analysis: Non-invasive Adrenal Monitoring in Equids
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Cited by 6 •
2016
Adrenal activity can be assessed in the equine species by analysis of feces for corticosterone metabolites. The method offers a non-invasive option to assess long term patterns in both domestic and free ranging horses. This protocol describes the enzyme linked immunoassay involved and the associated biochemical validation.
08:08
An in vivo Rodent Model of Contraction-induced Injury and Non-invasive Monitoring of Recovery
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Cited by 26 •
2011
An in vivo animal model of injury is described. The method takes advantage of the subcutaneous position of the fibular nerve. Velocity, timing of muscle activation, and arc of motion are all pre-determined and synchronized using commercial software. Post injury changes are monitored in vivo using MR imaging/spectroscopy.
11:28
Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring
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2025
This protocol presents robot-assisted stereo electroencephalography (sEEG), a method for the stereotactic implantation of intracerebral electrodes used for invasive seizure monitoring in patients with refractory epilepsy. Techniques incorporating stereotactic robotic guidance for sEEG are safe and precise and may improve surgical efficiency, especially when implanting greater numbers of electrodes.
05:43
Bioluminescent Orthotopic Pancreatic Cancer Mouse Model: A Non-invasive Technique to Monitor Cancer Progression in Mice
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2023
This video demonstrates an orthotopic model of pancreatic cancer that utilizes Matrigel for localized cell delivery and in vivo bioluminescence imaging for non-invasive monitoring of tumor progression. The orthotopic model is suited to both syngeneic and xenograft models and could be used in pre-clinical trials to investigate the impact of novel anti-cancer therapeutics on the growth of the primary pancreatic tumor and metastasis.
FAQs
Non-invasive monitoring draws on two complementary information streams: external signals, such as medical images and vital signs, and accessible outputs, including exhaled compounds, saliva, and urine. These measurements can reflect changes associated with pathogen activity or host inflammation. Using both types can broaden observation of disease-related change while avoiding reliance on a single biological readout.
Repeated measurements make it possible to follow immune responses and infection over time rather than relying on an isolated observation. Longitudinal data can reveal disease progression, show whether treatment response is changing, and support recognition of emerging complications. This time-resolved perspective also helps characterize host-pathogen interactions and may support earlier intervention when changes appear.
A measured change may be associated with pathogen activity, host inflammation, or both, so the biological meaning cannot be assigned from the signal alone. Comparing medical images, vital signs, or accessible outputs across time helps place each observation in context. This distinction is important for interpreting infection progression, immune responses, treatment effects, and possible complications.
An initial workflow is to select an accessible signal or output relevant to the immune or infectious process, obtain measurements without disrupting the body, and repeat them over time. Investigators then compare the resulting pattern with disease progression, treatment response, or emerging complications. This approach turns serial observations into longitudinal evidence rather than a single time point.
It is especially useful when a study requires repeated observation of immune responses or infection, because serial measurements reduce the burden of repeated sampling. The approach can support tracking disease progression, evaluating treatment response, and identifying emerging complications. Its value is greatest when changes over time matter more than a one-time characterization.
In immunology and infection research, serial measurements can connect changes in accessible outputs or external signals with immune responses, pathogen activity, and host inflammation. Researchers can use these patterns to examine disease progression and treatment response while building a more precise picture of host-pathogen interactions. The resulting evidence can also inform earlier intervention and complication detection.