Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Phase Contrast and Differential Interference Contrast Microscopy

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

Reconstruction of Signal using Interpolation

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

Properties of Fourier series II

Properties of Fourier series II

Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...

Gauss's Law: Spherical Symmetry

Gauss's Law: Spherical Symmetry

A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half has a uniform...

You might also read

Related Articles

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

Sort by

Same author

Phosphorylated toll-like receptor 4 defines a high-risk sepsis endotype.

Critical care (London, England)·2026

Same author

A Cost Reduction Strategy for Aluminum-Polymer Batteries: The Role of Impurities within AlCl<sub>3</sub>.

ACS omega·2026

Same author

Decreasing the hemoadsorption adsorber change interval does not improve time to shock reversal in sepsis: A retrospective study.

The International journal of artificial organs·2025

Same author

Bridging Data Models in Health Care With a Novel Intermediate Query Format for Feasibility Queries: Mixed Methods Study.

JMIR medical informatics·2024

Same author

Evaluation of risk for bronchiolitis obliterans syndrome after allogeneic hematopoietic cell transplantation with myeloablative conditioning regimens.

Bone marrow transplantation·2024

Same author

Isoflurane, like sepsis, decreases CYP1A2 liver enzyme activity in intensive care patients: a clinical study and network model.

Intensive care medicine experimental·2024

Search research articles

Related Experiment Video

Updated: May 29, 2026

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Iterative reconstruction for differential phase contrast imaging using spherically symmetric basis functions.

Thomas Köhler, Bernhard Brendel, Ewald Roessl

Medical Physics

|September 21, 2011

Summary

This study introduces a new iterative reconstruction (IR) algorithm for differential phase contrast imaging (DPCI). The method effectively reconstructs images from sparse data, outperforming filtered back-projection (FBP) by eliminating streak artifacts.

More Related Videos

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Related Experiment Videos

Last Updated: May 29, 2026

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Area of Science:

Tomographic X-ray Imaging
Medical Imaging Physics
Image Reconstruction Algorithms

Background:

Iterative reconstruction (IR) techniques offer advantages in conventional computed tomography.
Differential phase contrast imaging (DPCI) is an emerging area in x-ray imaging.
Combining IR and DPCI presents unique reconstruction challenges.

Discussion:

A novel maximum likelihood (ML) reconstruction algorithm with regularization is derived for DPCI.
Forward and back-projection operators are implemented using basis functions and differential footprints, avoiding numerical differentiation.
The algorithm is applied to reconstruct objects from sparsely sampled projection data.

Key Insights:

The proposed ML algorithm efficiently handles sparsely sampled DPCI data.
Streak artifacts, common in filtered back-projection (FBP), are eliminated.
Image quality improvements are comparable to conventional x-ray imaging with sparse data.

Outlook:

This work provides the first matched forward and back-projection implementation for DPCI without heuristics.
The developed ML reconstruction algorithm opens avenues for various IR algorithms in DPCI.
Further research can explore advanced regularization techniques for enhanced DPCI reconstruction.