Time-resolved Biosensing
Time-resolved Biosensing - Related Videos
09:39
Optical Biosensing
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2023
Optical biosensors utilize light to detect the binding of a target molecule. These sensors can utilize a label molecule, which produces a measurable signal such as fluorescence, or these sensors can be label-free and use the changes in optical properties, such as refractive index, to sense for the binding of the target molecule. This video introduces both label and label-free optical biosensors, demonstrates their use in the laboratory, and shows some applications of the technology.
07:39
Electrochemical Biosensing
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2023
Electrochemical biosensors detect the binding of a target molecule by sensing an oxidation-reduction event. These sensors paved the way for modern biosensing after the invention of the glucose biosensor. This video will introduce electrochemical biosensing, show the workings of the glucose biosensor, and discuss how electrochemical biosensors are used in cancer detection.
06:40
Overview of Biosensing
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2023
Biosensors are devices that use a wide range of biological processes and physical properties in order to detect either a biological molecule, such as a protein or cell, or a non-biological molecule, such as a chemical component or contaminant. This interdisciplinary field utilizes electrical, optical, electrochemical, or even mechanical properties to detect the presence of the target molecule. This video introduces the field of biosensing, and reviews common types of biosensor technologies.
12:55
Millifluidics for Chemical Synthesis and Time-resolved Mechanistic Studies
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Cited by 8 •
2013
Millifluidic devices are utilized for controlled synthesis of nanomaterials, time-resolved analysis of reaction mechanisms and continuous flow catalysis.
06:25
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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2014
A method for overcoming the optical diffraction limit is presented. The method includes a two-step process: optical phase retrieval using iterative Gerchberg-Saxton algorithm, and imaging system shifting followed by repetition of the first step. A synthetically increased lens aperture is generated along the direction of movement, yielding higher imaging resolution.
FAQs
The measured signal is tracked against time, and its intensity, frequency, or decay is related to a biological event. A changing signal can indicate analyte concentration, binding behavior, or cellular activity, while the shape of the time course shows whether the response is rapid, delayed, transient, or sustained. This converts sensor output into dynamic biological information.
Because measurements are time-stamped and collected continuously or repeatedly, short-lived signal changes remain visible instead of being averaged into a final reading. Researchers can compare the duration and persistence of responses, separating temporary cellular or molecular events from activity that continues over the observation period. That distinction improves interpretation of dynamic biological processes.
Time-resolved measurements can quantify rates of association, dissociation, production, and clearance when the signal changes correspond to those processes. Association and dissociation describe changing interactions, whereas production and clearance describe how biological material appears or is removed over time. These rate-based measurements provide information that a single endpoint value cannot supply.
Time-resolved biosensing can record optical, electrical, or electrochemical signals, with each modality providing a different measurable representation of biological change. Regardless of modality, the important information comes from how signal intensity, frequency, or decay evolves over time. The selected signal type can therefore be matched to the analyte, interaction, or cellular activity being studied.
A basic workflow begins by selecting a sensor that produces an optical, electrical, or electrochemical signal related to the biological process of interest. The system then records that signal continuously or at repeated time points, preserving time stamps for each measurement. Researchers interpret changes in intensity, frequency, or decay to estimate concentration, kinetics, or cellular activity.
The approach is useful when researchers need to follow changing biological behavior rather than measure only a final state. Bioengineering applications include real-time biomarker monitoring, drug-response analysis, cellular signaling studies, and diagnostic systems. By exposing response timing and rates, these measurements can support more responsive therapies and improve models of complex biological processes.