Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Thermodynamics of Mixing01:28

The Thermodynamics of Mixing

147
Mixing is a fascinating phenomenon in thermodynamics, particularly when considering the Gibbs energy of a mixture at constant temperature and pressure. This energy, denoted as G, tends to decrease during spontaneous mixing processes, offering insights into the composition changes that occur.Imagine two ideal gases, initially separated in different containers, with amounts nA and nB, respectively, both at a temperature T and pressure p. The chemical potentials of these gases have their 'pure'...
147
Interference and Superposition of Waves01:07

Interference and Superposition of Waves

5.8K
When two waves of the same nature occur in the same region simultaneously, they result in interference. Interference of waves implies that the net effect of the waves is the sum of the individual waves' effects. However, it does not imply that the individual waves affect the propagation of other waves.
Interference occurs in mechanical waves, such as sound waves, waves on a string, and surface water waves. Mechanical waves correspond to the physical displacement of particles. Hence,...
5.8K
Interference: Path Lengths01:10

Interference: Path Lengths

2.5K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.5K
Sound Waves: Interference00:53

Sound Waves: Interference

4.1K
Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
4.1K
Interference and Diffraction02:18

Interference and Diffraction

28.7K
Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
28.7K
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

1.7K
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
1.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of COVID-19 Booster Vaccination on Serum Redox Homeostasis.

International journal of molecular sciences·2026
Same author

Catalase Specifically Binds Antipsychotic Clozapine: Experimental and In Silico Insights into Interactions, Complex Stability, and Dose-Dependent Enzyme Activity Modulation.

Molecules (Basel, Switzerland)·2026
Same author

Simultaneous measurement with multiple targets via laser feedback interferometry: an algorithm and application in absolute distance sensing.

Applied optics·2026
Same author

Novel Pyridine-Based Thiazolyl-Hydrazone as a Promising Attenuator of <i>Pseudomonas aeruginosa</i> Pathogenicity by Targeting Quorum Sensing.

International journal of molecular sciences·2026
Same author

Plectranthus-derived Abietanes as Protein Kinase C-δ Activators: In Silico Design, Human Serum Albumin Interaction, and Stability Evaluation.

Chemistry & biodiversity·2025
Same author

Subwavelength 3D terahertz imaging with a single-pixel laser transceiver.

Optics express·2025
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Apr 28, 2026

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

8.7K

Solving self-mixing equations for arbitrary feedback levels: a concise algorithm.

Russell Kliese, Thomas Taimre, A Ashrif A Bakar

    Applied Optics
    |June 13, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a systematic numerical method to synthesize self-mixing laser sensor signals. This approach enables accurate displacement, distance, and velocity measurements, even for rough surfaces.

    More Related Videos

    Quantifying Mixing using Magnetic Resonance Imaging
    07:33

    Quantifying Mixing using Magnetic Resonance Imaging

    Published on: January 25, 2012

    12.3K
    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
    12:19

    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

    Published on: April 4, 2017

    7.9K

    Related Experiment Videos

    Last Updated: Apr 28, 2026

    Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
    10:12

    Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

    Published on: June 12, 2015

    8.7K
    Quantifying Mixing using Magnetic Resonance Imaging
    07:33

    Quantifying Mixing using Magnetic Resonance Imaging

    Published on: January 25, 2012

    12.3K
    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
    12:19

    Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

    Published on: April 4, 2017

    7.9K

    Area of Science:

    • Optoelectronics
    • Laser Physics
    • Sensor Technology

    Background:

    • Self-mixing laser sensors are versatile for displacement, velocimetry, and fluid flow.
    • Existing simulation techniques for self-mixing signals lack a complete and succinct process.
    • A standardized method for synthesizing self-mixing signals is needed in the scientific literature.

    Purpose of the Study:

    • To provide a systematic numerical approach for analyzing self-mixing sensors.
    • To develop a method for synthesizing self-mixing signals for various applications.
    • To demonstrate the application of the method for displacement, distance, and velocity measurements.

    Main Methods:

    • Utilized the steady-state solution of the Lang and Kobayashi model for numerical analysis.
    • Developed a process for synthesizing self-mixing signals under arbitrary feedback levels.
    • Incorporated deterministic and random stimuli for signal synthesis and analysis.

    Main Results:

    • Successfully synthesized self-mixing signals for displacement, distance, and velocity measurements.
    • Demonstrated the method's applicability across various feedback regimes.
    • Showcased the necessity of random stimuli for accurate velocity measurements on rough surfaces.

    Conclusions:

    • The proposed systematic numerical approach offers a complete and succinct method for synthesizing self-mixing signals.
    • This method enhances the analysis and application of self-mixing laser sensors.
    • The findings facilitate more accurate and versatile measurements in sensing applications.