Daily Non-invasive Monitoring
Daily 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.
10:59
Mass Cytometry: Protocol for Daily Tuning and Running Cell Samples on a CyTOF Mass Cytometer
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Cited by 48 •
2012
The steps necessary for daily tuning and optimization of the performance of a CyTOF mass cytometer are described. Comments on optimal sample preparation and flow rate are...
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.
06:49
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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Cited by 5 •
2015
A standardized evaluation method was developed for Wearable Mobility Monitoring Systems (WMMS) that includes continuous activities in a realistic daily living environment. Testing with a series of daily living activities can decrease activity recognition sensitivity; therefore, realistic testing circuits are encouraged for valid evaluation of WMMS performance.
FAQs
Its main analytical strength lies in repeated comparison within the same subject. Tracking each individual’s observations over time helps distinguish a meaningful change from that person’s usual pattern. This longitudinal view is especially useful when immune activity or infection changes gradually, because a series can show direction and timing rather than only one isolated measurement.
Different external or remotely detectable signals can provide complementary views of biological change. Appearance may indicate a visible shift, while physiology or behavior may reveal changes not apparent from appearance alone. Comparing these observations across days helps researchers relate measurable patterns to disease progression, host responses, treatment effects, or recovery without relying on a single indicator.
Endpoint analyses provide a limited snapshot of biological activity at a particular stage, whereas repeated observations show how that activity develops over time. Using both approaches can connect a final measurement with the preceding pattern of change. This combination helps researchers interpret whether an observed immune or infectious state reflects progression, response to treatment, or recovery.
Frequent measurement increases temporal resolution, meaning researchers can identify changes across shorter intervals instead of comparing only widely separated stages. That added detail can support earlier recognition of meaningful changes and clarify when a host response or disease-related shift begins. The result is a more continuous picture of biological progression and treatment-related effects.
A practical workflow begins by selecting an external or remotely detectable indicator relevant to the biological process, such as appearance, physiology, behavior, or another measurable signal. Researchers then collect observations repeatedly, compare each result with earlier observations from the same subject, and interpret the resulting trend alongside endpoint findings. Consistent serial assessment is central to the approach.
This approach is useful when researchers need to follow disease progression, host responses, treatment effects, or recovery over time. It can provide information between endpoint assessments while reducing stress and experimental disruption associated with repeated invasive procedures. In immunology and infection studies, the resulting longitudinal record helps connect changing external or physiological signals with the broader course of the biological process.