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

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...
Cylinders in Three-Dimensional Space01:28

Cylinders in Three-Dimensional Space

A cylindrical surface is generated when a two-dimensional profile curve is translated along a straight line in three-dimensional space. The translated copies of the curve form a surface composed of parallel rulings, each oriented in the same fixed direction. This construction allows many three-dimensional forms to be described using relatively simple planar equations.In Cartesian coordinates, a cylindrical surface is often recognized by an equation that omits one of the three variables. For...
Generalized Hooke's Law01:22

Generalized Hooke's Law

The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
Divergence Theorem in 3D Space01:20

Divergence Theorem in 3D Space

In vector calculus, flux measures the total flow of a vector field through a surface. For a closed surface in three-dimensional space, this means measuring how much of the field passes outward through every point on the boundary. Directly calculating this flux can be difficult when the surface has a complicated or irregular shape. The Divergence Theorem provides a powerful alternative by relating surface flux to behavior inside the enclosed region.The Divergence Theorem states that the outward...
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...
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...

You might also read

Related Articles

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

Sort by
Same author

Snapshot 3D and texture imaging with structured illumination.

Optics express·2026
Same author

Dual activation of MC3R and MC4R drives weight loss and reduces food intake in male primates with obesity.

Nature communications·2026
Same author

Photonic decision making using optical frequency difference detection in mutually-coupled semiconductor lasers.

Optics express·2026
Same author

The melanocortin receptors as targets for general obesity: contextualizing clinical failures and analyzing future perspectives.

Frontiers in endocrinology·2026
Same author

Endogenous targeting lipid nanoparticles for systemic mRNA delivery to lung cancer tumors.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Compressive multi-beam scanning transmission electron microscopy.

Ultramicroscopy·2026
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Compressive holography.

David J Brady1, Kerkil Choi, Daniel L Marks

  • 1Department of Electrical and Computer Engineering and The Fitzpatrick Institute for Photonics, Duke University, Durham, NC 27708, USA. David.Brady@duke.edu

Optics Express
|August 6, 2009
PubMed
Summary
This summary is machine-generated.

Compressive sampling reconstructs signals with fewer measurements. This study shows how to create 3D tomography images from 2D holographic data using this technique.

More Related Videos

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

Related Experiment Videos

Last Updated: Jun 21, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

Area of Science:

  • Optics and photonics
  • Signal processing
  • Computational imaging

Background:

  • Compressive sampling (CS) allows for signal reconstruction from sub-Nyquist rate samples.
  • CS is valuable for acquiring multidimensional data, such as 3D images, from lower-dimensional measurements.
  • Holographic data acquisition offers rich information but often requires significant data processing.

Purpose of the Study:

  • To demonstrate the feasibility of single-frame 3D tomography using compressive sampling principles.
  • To reconstruct three-dimensional tomographic data from two-dimensional holographic measurements.
  • To explore the application of compressive measurement in advanced imaging modalities.

Main Methods:

  • Utilized compressive sampling theory for signal reconstruction.
  • Employed 2D holographic data as the input measurement.
  • Developed algorithms for reconstructing 3D tomographic information from the 2D data in a single frame.

Main Results:

  • Successfully reconstructed single-frame 3D tomographic data from 2D holographic inputs.
  • Demonstrated that compressive sampling enables efficient 3D imaging from reduced dimensional data.
  • Validated the effectiveness of the proposed method for 3D tomographic reconstruction.

Conclusions:

  • Single-frame 3D tomography from 2D holographic data is achievable using compressive sampling.
  • Compressive measurement significantly reduces data requirements for multidimensional image reconstruction.
  • This technique holds potential for applications in advanced 3D imaging and tomography.