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...

You might also read

Related Articles

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

Sort by

Same author

Refractive Index-Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026

Same author

Clinical Outcomes and Applicability of Emergency Department Termination-of-Resuscitation Rules in Super-Elderly Patients with Out-of-Hospital Cardiac Arrest: A Multicenter Analysis.

Diagnostics (Basel, Switzerland)·2026

Same author

Morphology-Preserving Holotomography: Quantitative Analysis of 3D Organoid Dynamics.

IEEE transactions on medical imaging·2026

Same author

Label-free quantitative 3D mapping of collagen architecture by holotomography.

bioRxiv : the preprint server for biology·2026

Same author

Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit.

bioRxiv : the preprint server for biology·2026

Same author

Speckle-based X-ray microtomography via preconditioned Wirtinger flow.

Light, science & applications·2026

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

Search research articles

Related Experiment Video

Updated: May 27, 2026

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

Real-time quantitative phase imaging with a spatial phase-shifting algorithm.

Sanjit K Debnath¹, YongKeun Park

¹Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea.

|December 6, 2011

Summary

This summary is machine-generated.

A new spatial phase-shifting algorithm enables real-time quantitative phase imaging. This fast method significantly reduces computation time for analyzing dynamic biological samples.

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

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Related Experiment Videos

Last Updated: May 27, 2026

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

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

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Area of Science:

Optics and Photonics
Biomedical Imaging
Computational Imaging

Background:

Quantitative phase imaging (QPI) is crucial for label-free visualization of unstained biological specimens.
Existing QPI methods often face limitations in speed, hindering the analysis of dynamic biological processes.
Real-time imaging capabilities are essential for capturing transient cellular events.

Purpose of the Study:

To introduce a novel, fast, and straightforward method for real-time quantitative phase imaging.
To demonstrate the computational efficiency of the proposed spatial phase-shifting algorithm.
To validate the applicability of the method for dynamic biological imaging.

Main Methods:

Implementation of a spatial phase-shifting algorithm for phase extraction from interferograms.
Utilizing a standard desktop computer for processing 512 × 512 pixel interferograms.
Comparison of computation time against Fourier and Hilbert transform methods.

Main Results:

Phase extraction achieved in under 8.93 ms for 512 × 512 pixel images.
The proposed algorithm is five times faster than Fourier transform and twice as fast as Hilbert transform.
Demonstrated high-speed capability suitable for dynamic imaging.

Conclusions:

The developed spatial phase-shifting algorithm provides a highly efficient approach to real-time quantitative phase imaging.
The method's speed and generality make it suitable for studying dynamic phenomena in biological samples.
This technique offers a promising tool for advancing label-free live-cell imaging and analysis.