Interrogator System
Interrogator System - Related Videos
08:20
Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
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Cited by 21 •
2019
The purpose of the method presented here is to show how microenvironment microarrays (MEMA) can be fabricated and used to interrogate the impact of thousands of simple combinatorial microenvironments on the phenotype of cultured cells.
07:51
Dielectric RheoSANS — Simultaneous Interrogation of Impedance, Rheology and Small Angle Neutron Scattering of Complex Fluids
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Cited by 18 •
2017
Here, we present a procedure for the measurement of simultaneous impedance, rheology and neutron scattering from soft matter materials under shear flow.
07:04
Complementary Approaches to Interrogate Mitophagy Flux in Pancreatic β-Cells
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Cited by 5 •
2023
This protocol outlines two methods for the quantitative analysis of mitophagy in pancreatic β-cells: first, a combination of cell-permeable mitochondria-specific dyes, and second, a genetically encoded mitophagy reporter. These two techniques are complementary and can be deployed based on specific needs, allowing for flexibility and precision in quantitatively addressing mitochondrial quality control.
08:23
CIRCLE-Seq for Interrogation of Off-Target Gene Editing
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Cited by 1 •
2024
A significant barrier to technologies like CRISPR is the off-target events that can disrupt vital genes. 'Circularization for In Vitro Reporting of Cleavage Effects by Sequencing' (CIRCLE-seq) is a technique designed to identify unintended cleavage sites. This method maps the genome-wide activity of CRISPR-Cas9 with high sensitivity and without bias.
10:13
A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
0 Views •
Cited by 6 •
2013
Achieving a systems level understanding of cellular processes is a goal of modern-day cell biology. We describe here strategies for multiplexing luciferase reporters of various cellular function end-points to interrogate gene function using genome-scale RNAi libraries.
FAQs
The system first supplies a stimulus appropriate to the sensor, then observes a response such as a change in wavelength, intensity, phase, frequency, or resistance. Signal conditioning prepares that response for analysis, while data processing relates the measured change to a physical condition. This sequence allows engineers to transform raw sensor behavior into usable measurement information.
An interrogator system can gather information from sensing arrangements that cover multiple locations or combine multiple sensing elements. Distributed sensing supports observations across an engineered structure or process, while multiplexed sensing allows measurements from more than one sensing point within the same overall arrangement. These capabilities help extend monitoring coverage without limiting analysis to a single location.
The sensor technology determines which signal characteristics carry information about the monitored condition. Optical sensors may produce changes in wavelength, intensity, or phase, whereas electrical or acoustic approaches may provide changes in resistance or frequency. Because the measurable response varies by technology, the interrogator must supply a compatible stimulus and process the resulting signal appropriately.
A typical workflow begins by connecting the selected sensor arrangement and providing its required optical, electrical, or acoustic stimulus. The system detects the resulting response, applies signal conditioning, and performs data analysis. Engineers then interpret the processed information as evidence of temperature, strain, pressure, vibration, or structural change in the monitored asset or process.
Engineering applications include monitoring infrastructure, machinery, and industrial processes. The measured information can reveal changes in temperature, strain, pressure, vibration, or structural condition while operations continue. This makes the technology relevant to real-time observation, fault detection, and predictive maintenance, where timely information can support decisions about equipment or infrastructure performance.
By processing sensor responses into information about physical conditions, the system can improve measurement accuracy and provide a basis for detecting faults. Real-time monitoring helps engineers observe changing conditions rather than relying only on isolated measurements. In predictive maintenance contexts, these observations support evaluation of machinery, infrastructure, and industrial processes before performance problems become more apparent.