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

Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

173
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
173
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

429
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
429
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

131
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
131
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

170
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
170
Thin-Walled Hollow Shafts01:15

Thin-Walled Hollow Shafts

266
In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution...
266
Typical Model Studies01:30

Typical Model Studies

448
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
448

You might also read

Related Articles

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

Sort by
Same author

Author Correction: In situ structure of a bacterial flagellar motor at subnanometre resolution reveals adaptations for increased torque.

Nature microbiology·2025
Same author

In situ structure of a bacterial flagellar motor at subnanometre resolution reveals adaptations for increased torque.

Nature microbiology·2025
Same author

Molecular model of a bacterial flagellar motor <i>in situ</i> reveals a "parts-list" of protein adaptations to increase torque.

bioRxiv : the preprint server for biology·2024
Same author

Smooth Sidewalls on Crystalline Gold through Facet-Selective Anisotropic Reactive Ion Etching: Toward Low-Loss Plasmonic Devices.

Nano letters·2022
Same author

Measuring the refractive index and sub-nanometre surface functionalisation of nanoparticles in suspension.

Nanoscale·2022
Same author

Determining nanorod dimensions in dispersion with size anisotropy nanoparticle tracking analysis.

Physical chemistry chemical physics : PCCP·2022

Related Experiment Video

Updated: Sep 20, 2025

Scattering And Absorption of Light in Planetary Regoliths
11:34

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

10.5K

An Analysis of Semicircular Channel Backscattering Interferometry through Ray Tracing Simulations.

Niall M C Mulkerns1,2, William H Hoffmann1,2,3, Ian D Lindsay1,2

  • 1H. H. Wills Physics Laboratory, University of Bristol, Bristol BS8 1TL, UK.

Sensors (Basel, Switzerland)
|June 10, 2022
PubMed
Summary
This summary is machine-generated.

A new ray tracing model for microfluidic backscattering interferometry reveals that semicircular channels do not explain experimental data. Capillary-based systems offer superior data quality and sensitivity compared to on-chip methods.

Keywords:
backscattering interferometrymicrofluidicsray tracingrefractive indexsemicircular channel

More Related Videos

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses
06:55

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

Published on: June 6, 2017

7.7K
Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

13.6K

Related Experiment Videos

Last Updated: Sep 20, 2025

Scattering And Absorption of Light in Planetary Regoliths
11:34

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

10.5K
Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses
06:55

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

Published on: June 6, 2017

7.7K
Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

13.6K

Area of Science:

  • Optical physics
  • Microfluidics
  • Interferometry

Background:

  • Backscattering interferometry (BI) commonly uses single-channel microfluidic systems with semicircular cross-sections.
  • Previous studies have not fully elucidated the optical mechanisms governing BI in these systems.

Purpose of the Study:

  • To develop a comprehensive ray tracing model for on-chip backscattering interferometry with a semicircular cross-section.
  • To investigate the influence of polarization and angle of incidence on BI.
  • To compare model predictions with experimental data and clarify discrepancies.

Main Methods:

  • Development of a complete ray tracing model for semicircular microfluidic channels.
  • Inclusion of polarization and angle of incidence dependencies in the model.
  • Validation of the model against experimental fringe patterns and sensitivities.

Main Results:

  • The ray tracing model accurately predicts fringe patterns and sensitivities under various incidence angles.
  • Experimental data from semicircular channels could not be explained by the semicircular geometry model.
  • Discrepancies suggest a need for further clarification of BI optical mechanisms.

Conclusions:

  • The geometry of microfluidic channels significantly impacts backscattering interferometry.
  • Capillary-based backscattering interferometry presents advantages in ease of analysis, data quality, and sensitivity over on-chip systems.
  • Further research is needed to fully understand the optical principles of BI modalities.