In Vivo Monitoring
In Vivo Monitoring - Related Videos
08:16
An IL-8 Transiently Transgenized Mouse Model for the In Vivo Long-term Monitoring of Inflammatory Responses
0 Views •
Cited by 14 •
2017
The method described here allows for the visualization of IL-8 promoter-dependent inflammation activation in the lungs of mice through non-invasive bioluminescence imaging (BLI). The same animal can be subjected to BLI multiple times for up to two months from the time of delivery of the luciferase reporter construct.
08:08
An in vivo Rodent Model of Contraction-induced Injury and Non-invasive Monitoring of Recovery
0 Views •
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.
11:17
Surgical Technique for the Implantation of Tissue Engineered Vascular Grafts and Subsequent In Vivo Monitoring
0 Views •
Cited by 9 •
2015
A step-by-step protocol for the inter-positional placement of Tissue Engineered Vessels (TEVs) into the carotid artery of a sheep using end-to-end anastomosis and real-time digital assessment in vivo until animal sacrifice.
05:53
Use of In vivo Imaging to Monitor the Progression of Experimental Mouse Cytomegalovirus Infection in Neonates
0 Views •
Cited by 6 •
2013
Human Cytomegalovirus (HCMV) infection of neonates represents an important cause of mental retardation, yet the molecular events leading to virus-induced pathogenesis are still poorly understood. To investigate the dynamics of brain infection, we adapted whole-animal in vivo imaging to perform time-course analysis of neonates infected with a luciferase-recombinant virus.
07:35
Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
0 Views •
Cited by 14 •
2015
The use of ultra-high field MRI as a non-invasive way to obtain phenotypic information of rodent models for polycystic kidney disease and to monitor interventions is described. Compared with the traditional histological approach, MRI images can be acquired in vivo, allowing for longitudinal follow-up.
FAQs
Each tool is suited to a different type of measurement. Implanted or wearable sensors can detect electrical activity, pressure, or temperature, while molecular probes and imaging tools can reveal biomarker concentrations or other biological changes. Their outputs are converted into analyzable data, allowing bioengineers to match device choice with the physiological process or therapeutic response being studied.
Continuous measurements reveal how physiological signals and therapeutic responses change over time rather than providing only isolated observations. This temporal information can show disease progression, treatment responses, or changes in a tissue-engineered construct under realistic conditions. Comparing these ongoing measurements with device data helps researchers identify patterns that isolated samples may not fully capture.
Device design determines how biological signals are detected, while computational analysis turns the resulting measurements into interpretable information. Their combination links physical changes inside the organism with analyzable datasets. In bioengineering, this connection supports evaluation of implanted or wearable systems and helps researchers relate measured signals to disease status, tissue behavior, or therapeutic effects.
A typical workflow begins by selecting the biological process or treatment response to measure, followed by choosing an implanted or wearable sensor, molecular probe, or imaging tool. The selected system detects signals such as pressure, temperature, electrical activity, or biomarker concentration and converts them into data. Researchers then analyze the measurements over time to assess biological or therapeutic changes.
Researchers may choose this approach when the surrounding living environment is important to the result. It can support studies of disease progression, tissue-engineered constructs, drug delivery, and treatment responses while biological systems remain under realistic conditions. The resulting measurements provide context that isolated samples may not fully preserve, helping investigators evaluate interventions more directly.
In bioengineering, measurements can be used to assess how tissue-engineered constructs behave, whether drug delivery produces a response, or how a treatment changes physiological signals. Tracking these outcomes over time connects biological data with engineered devices and computational analysis. This supports safer interventions and more precise biomedical research tailored to observed responses.