Vector Network Analyzer
Vector Network Analyzer - Related Videos
10:00
Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
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Cited by 1 •
2020
This protocol describes best practices for calibrating a vector network analyzer prior to use as an accurate instrument, intended to measure components of a radio frequency propagation measurement test system.
14:45
Analyzing the Parkinson's Disease Mouse Model Induced by Adeno-associated Viral Vectors Encoding Human α-Synuclein
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Cited by 2 •
2022
This work analyzes the vector dose and exposure time required to induce neuroinflammation, neurodegeneration, and motor impairment in this preclinical model of Parkinson's disease. These vectors encoding the human α-synuclein are delivered into the substantia nigra to recapitulate the synuclein pathology associated with Parkinson's disease.
05:03
Forced Salivation As a Method to Analyze Vector Competence of Mosquitoes
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Cited by 33 •
2018
For efficient control of mosquito borne virus transmission, the knowledge of the vector potential of respective mosquitoes is of particular interest. We describe forced salivation as a method to analyze vector competence of Aedes albopictus and three different Culex taxa for the transmission of Zika virus.
10:10
Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
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Cited by 6 •
2018
Here we present a protocol to assess the organization of astrocytic networks. The described method minimizes bias to provide descriptive measures of these networks such as cell count, size, area, and position within a nucleus. Anisotropy is assessed with a vectorial analysis.
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
FAQs
At each frequency, the instrument compares the known applied stimulus with waves returning from or passing through the device under test. Calibration corrects the measurement reference before these comparisons become S-parameters. Because the results retain both magnitude and phase, engineers can translate wave behavior into impedance, loss, gain, and phase information.
Phase measurement matters because it shows how the response changes relative to the applied and returned or transmitted waves, rather than reporting signal strength alone. In engineering work, that added information supports impedance matching and helps validate whether a high-frequency circuit behaves as intended across its operating frequency range.
Calibration establishes the measurement reference used before the instrument calculates S-parameters from measured waves. It is therefore a prerequisite for interpreting reflection and transmission results consistently across a frequency sweep. In practice, calibration makes the reported impedance, loss, gain, and phase values useful for component comparison and circuit validation.
Measurements expressed through S-parameters can be interpreted as several practical quantities. Reflection-related results support impedance, return loss, and diagnosis of mismatches, while transmission-related results support insertion loss and gain. Phase results add the frequency-dependent response needed to assess behavior beyond amplitude alone. Together, these outputs guide component selection and high-frequency circuit validation.
A typical measurement sequence begins by applying a known radio-frequency stimulus to the device under test. The instrument then measures incident, reflected, and transmitted waves over the selected frequency range. After calibration, it calculates S-parameters and converts them into quantities such as impedance, loss, gain, and phase. This workflow connects raw wave measurements to engineering decisions.
Engineers apply VNAs when they need to validate or troubleshoot frequency-dependent behavior in antennas, filters, amplifiers, or cables. The resulting measurements can reveal mismatch, loss, phase response, or gain characteristics, supporting impedance matching, fault diagnosis, circuit validation, and the development of reliable high-frequency communication and sensing systems.