Noninvasive Biosensor Monitoring
Noninvasive Biosensor Monitoring - Related Videos
10:34
FRET Microscopy for Real-time Monitoring of Signaling Events in Live Cells Using Unimolecular Biosensors
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Cited by 29 •
2012
Förster resonance energy transfer (FRET) microscopy is a powerful technique for real-time monitoring of signaling events in live cells using various biosensors as reporters. Here we describe how to build a customized epifluorescence FRET imaging system from commercially available components and how to use it for FRET experiments.
09:31
Noninvasive Blood Pressure Measurement Techniques
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2023
Source: Hamna J. Qureshi and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana Here we will highlight the key similarities and differences of noninvasive blood pressure measurement techniques between humans and rodents and examine the engineering principles that govern blood pressure. The principles that govern current cuff technology to acquire systolic and diastolic pressures will also be discussed. Commercially available cuffs that connect...
09:16
FIBS-enabled Noninvasive Metabolic Profiling
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2014
A description of how to calibrate Förster Resonance Energy Transfer integrated biological sensors (FIBS) for in situ metabolic profiling is presented. The FIBS can be used to measure intracellular levels of metabolites noninvasively aiding in the development of metabolic models and high throughput screening of bioprocess conditions.
14:04
Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
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Cited by 17 •
2013
Lytic phage biosensors and antibody beads are able to discriminate between methicillin resistant (MRSA) and sensitive staphylococcus bacteria. The phages were immobilized by a Langmuir-Blodgett method onto a surface of a quartz crystal microbalance sensor and worked as broad range staphylococcus probes. Antibody beads recognize MRSA.
08:16
Noninvasive Monitoring of Lesion Size in a Heterologous Mouse Model of Endometriosis
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Cited by 10 •
2019
Here, we present a protocol for live-imaging of fluorescently labeled human endometrial fragments grafted in mice. The method allows studying the effects of drugs of choice on endometriotic lesion size through monitoring and quantification of fluorescence emitted by the fluorescent reporter on real...
FAQs
These transducers convert different biological or physiological changes into electronic data. Optical systems detect changes in light-related signals, electrochemical systems respond to chemical or metabolite-related changes, and mechanical systems measure effects such as pressure. Selecting among them depends on the signal of interest and the type of information needed for continuous assessment in healthcare, exercise, or disease monitoring.
Wearable or contact-based materials position the sensing element at the skin surface, where it can capture optical changes, electrical activity, temperature, pressure, or metabolites. Material advances can improve usability and accuracy while supporting comfortable, prolonged contact. This design helps obtain repeated measurements without tissue penetration or fluid removal, making monitoring more practical for ongoing health assessment.
The sensor first converts a biological or physiological signal into electronic information, while wireless communication helps integrate measurements into a connected monitoring system. Data analysis then supports interpretation of changing health signals rather than isolated readings. Together, these capabilities enable real-time assessment and contribute to more individualized monitoring and treatment-response evaluation.
A typical workflow begins by selecting the biological molecule or physiological signal to measure, followed by placing a wearable or contact-based sensor at the skin surface. The appropriate optical, electrochemical, or mechanical transducer captures the change and converts it into electronic data. Wireless communication and data analysis can then support real-time interpretation and tracking.
Researchers may choose this approach when they need safer, more continuous measurements of health status, exercise-related changes, disease-related signals, or treatment responses. Avoiding tissue penetration and bodily-fluid removal reduces discomfort and infection risk. These characteristics make the method useful when repeated observation is more informative than a single measurement taken through a more intrusive approach.
In bioengineering, these systems connect sensing materials, transduction mechanisms, wireless communication, and data analysis into an integrated monitoring platform. Their ability to follow individual health signals over time supports personalized medicine by helping relate measurements to a person’s status, disease-related changes, or response to treatment. This integration also guides improvements in sensor accuracy, usability, and clinical practicality.