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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first column of the Routh...

You might also read

Related Articles

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

Sort by
Same author

Real-life functioning and duration of illness in schizophrenia: A mediation analysis.

Heliyon·2025
Same author

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe.

European archives of psychiatry and clinical neuroscience·2024
Same author

Nodular Type but Not Vitamin D Levels Increases the Risk of Second Primary Cancers in Melanoma Patients: An Observational Study of 663 Patients.

Actas dermo-sifiliograficas·2023
Same author

Nodular type but not vitamin D levels increases the risk of second primary cancers in melanoma patients: An observational study of 663 patients.

Actas dermo-sifiliograficas·2023
Same author

PD-1 receptor outside the main paradigm: tumour-intrinsic role and clinical implications for checkpoint blockade.

British journal of cancer·2023
Same author

Inter-relationships among psychopathology, cognition, and real-life functioning in early and late phase schizophrenia: A network analysis approach.

Schizophrenia research·2023
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Bayesian compressive optical imaging within the Rytov approximation.

G Oliveri1, L Poli, P Rocca

  • 1ELEDIA Research Center@DISI, University of Trento, Trento, Italy.

Optics Letters
|May 26, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Bayesian compressive sensing (BCS) inverse scattering technique, valid within the Rytov approximation (RA). Numerical experiments validate the BCS-RA method

More Related Videos

Automated Compression Testing of the Ocular Lens
05:19

Automated Compression Testing of the Ocular Lens

Published on: April 5, 2024

Related Experiment Videos

Last Updated: May 22, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Automated Compression Testing of the Ocular Lens
05:19

Automated Compression Testing of the Ocular Lens

Published on: April 5, 2024

Area of Science:

  • Computational electromagnetics
  • Inverse problems
  • Wave scattering theory

Background:

  • The Rytov approximation (RA) is a widely used method for modeling wave propagation in inhomogeneous media.
  • Inverse scattering problems aim to reconstruct the properties of an object from scattered wave measurements.
  • Bayesian compressive sensing (BCS) offers a powerful framework for solving ill-posed inverse problems with sparse solutions.

Purpose of the Study:

  • To develop and validate an innovative Bayesian compressive sensing (BCS) inverse scattering technique within the Rytov approximation (RA).
  • To explore the potentialities and limitations of the proposed BCS-RA method.
  • To provide representative numerical results for assessing the method's performance.

Main Methods:

  • Development of a novel inverse scattering algorithm integrating Bayesian compressive sensing (BCS) principles.
  • Application of the BCS-RA method within the established range of validity of the Rytov approximation.
  • Validation through comprehensive numerical experiments simulating various scattering scenarios.

Main Results:

  • Demonstration of the BCS-RA method's capability to accurately reconstruct object properties from scattered field data.
  • Identification of the operational range and performance characteristics of the BCS-RA technique.
  • Quantitative assessment of the method's resolution and accuracy under different noise conditions.

Conclusions:

  • The developed BCS-RA method presents a promising approach for solving inverse scattering problems.
  • The technique effectively leverages sparsity priors within the Rytov approximation framework.
  • Numerical validation confirms the method's potential and highlights areas for future refinement.