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

Sound as Pressure Waves01:17

Sound as Pressure Waves

4.4K
Sound waves, which are longitudinal waves, can be modeled as the displacement amplitude varying as a function of the spatial and temporal coordinates. As a column of the medium is displaced, its successive columns are also displaced. As the successive displacements differ relatively, a pressure difference with the surrounding pressure is created. The gauge pressure varies across the medium.
The pressure fluctuation depends on the difference in displacements between the successive points in the...
4.4K
Pressure Variation in a Fluid at Rest01:11

Pressure Variation in a Fluid at Rest

734
In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
734
Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

796
The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
796
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

50
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
50

You might also read

Related Articles

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

Sort by
Same author

Alternative and simple method to determine the refractive index of human dentin.

The Review of scientific instruments·2024
Same author

Auditory Noise Facilitates Lower Visual Reaction Times in Humans.

Biology·2024
Same author

Dynamic modeling of photoacoustic sensor data to classify human blood samples.

Medical & biological engineering & computing·2023
Same author

Study of Polyvinyl Alcohol Hydrogels Applying Physical-Mechanical Methods and Dynamic Models of Photoacoustic Signals.

Gels (Basel, Switzerland)·2023
Same author

Frailty Syndrome as a Transition from Compensation to Decompensation: Application to the Biomechanical Regulation of Gait.

International journal of environmental research and public health·2023
Same author

Effect of 3D-MOT training on the execution of manual dexterity skills in a population of older adults with mild cognitive impairment and mild dementia.

Applied neuropsychology. Adult·2023

Related Experiment Video

Updated: Jan 17, 2026

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces
10:21

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

12.1K

Kernel-based regularization for photoacoustic pressure reconstructiona).

Roberto G Ramírez-Chavarría1, Luis Santamaría-Padilla1, Marco P Colín-García2

  • 1Instituto de Ingeniería, Universidad Nacional Autónoma de México, Coyoacán, Mexico City 04510, Mexico.

The Journal of the Acoustical Society of America
|September 24, 2025
PubMed
Summary

Kernel-based regularization (KBR) improves photoacoustic tomography (PAT) image reconstruction. This new method enhances accuracy and speed, overcoming noise and data limitations in photoacoustic imaging.

More Related Videos

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

2.2K
Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.8K

Related Experiment Videos

Last Updated: Jan 17, 2026

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces
10:21

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

12.1K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

2.2K
Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.8K

Area of Science:

  • Biomedical Imaging
  • Optical Imaging
  • Ultrasound Imaging

Background:

  • Photoacoustic tomography (PAT) merges ultrasound's spatial resolution with optical imaging's contrast.
  • PAT faces challenges due to the ill-posed inverse problem, leading to inaccurate reconstructions from limited, noisy data.

Purpose of the Study:

  • Introduce a kernel-based regularization (KBR) approach for model-based photoacoustic (PA) image reconstruction.
  • Enhance robustness to noise and data sparsity in PA imaging.
  • Improve reconstruction fidelity, particularly in low signal-to-noise ratio areas.

Main Methods:

  • Developed a kernel-based regularization (KBR) method for PA image reconstruction.
  • Utilized kernel-induced feature space to enforce image smoothness and spatial coherence.
  • Incorporated prior knowledge of signal dynamics into the PA inverse problem solution.

Main Results:

  • KBR demonstrated superior performance compared to traditional methods like Tikhonov and total variation regularization.
  • The proposed algorithm showed improved reconstruction accuracy and faster computation speed.
  • Enhanced robustness against noise and data sparsity was observed in numerical experiments and phantom studies.

Conclusions:

  • KBR offers a powerful solution for the inherent challenges in PA image reconstruction.
  • The method significantly improves reconstruction fidelity and robustness.
  • KBR holds potential for advancing various PA imaging applications.