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

Cuprorivaite as a Multifunctional Material for Hypertrophic Scar Modulation with Intrinsic Photothermal Enhancement.

ACS applied materials & interfaces·2026

Same author

Lipid trapping slows ball-and-chain inactivation in a calcium-activated potassium channel.

Nature communications·2026

Same author

Structural basis for activation and potentiation in a human α5β3 GABA<sub>A</sub> receptor.

Nature communications·2026

Same author

U-ResNet-ESPI: a physics-informed deep learning framework for robust phase unwrapping in electronic speckle pattern interferometry.

Optics express·2026

Same author

Wetland succession reshapes microbial degradation of plant- and microbial-derived carbon.

Journal of environmental management·2026

Same author

Normalized periprostatic adipose tissue thickness: an imaging marker associated with prostate biopsy outcomes among patients with PI-RADS and PSA double gray zone.

Adipocyte·2026

Same journal

Generalizable framework for multi-site bone density prediction using non-dominant wrist optical biomarkers.

Biomedical optics express·2026

Same journal

Erratum: Review of dynamic optical coherence tomography for intracellular motility [Invited]: errata.

Biomedical optics express·2026

Same journal

Digital-micromirror-device-based illumination strategies for background suppression in single-molecule localization microscopy.

Biomedical optics express·2026

Same journal

Synergistic combination of convective self-assembly and hollow core fiber for sensitive SERS detection of glucose molecules.

Biomedical optics express·2026

Same journal

Multimodal diagnostic network integrating infrared and mass spectra for lung cancer.

Biomedical optics express·2026

Same journal

Multimodal Optical Biosensing for Precision Medicine and Healthcare: Introduction to the feature issue.

Biomedical optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 15, 2025

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

LED array microscopy system correction method with comprehensive error parameters optimized by phase smoothing

Zewen Yang¹, Lu Zhang¹, Tong Liu¹

¹State Key Laboratory for Manufacturing System Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Biomedical Optics Express

|October 4, 2023

Summary

This summary is machine-generated.

This study introduces a new method to improve LED array microscopy image quality by optimizing error parameters. The technique enhances reconstruction accuracy for 2D phase and 3D refractive index imaging, even with unknown LED array features.

More Related Videos

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Published on: November 15, 2011

Related Experiment Videos

Last Updated: Jul 15, 2025

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

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Using Affordable LED Arrays for Photo-Stimulation of Neurons

Published on: November 15, 2011

Area of Science:

Computational Imaging
Microscopy Techniques
Optical Physics

Background:

LED array microscopy offers high-resolution 2D phase and 3D refractive index imaging over a large field of view.
Experimental simplicity is offset by reduced reconstruction quality due to LED position and wavelength errors.

Purpose of the Study:

To develop a robust method for correcting errors in LED array microscopy.
To enhance the accuracy and reliability of reconstructed images from LED array microscopy systems.

Main Methods:

Introduced comprehensive error parameters, including central wavelength error and a six-degree-of-freedom 3D misalignment model for the LED array.
Utilized a phase smoothing criterion within the cost function to optimize these error parameters.
Considered unknown spatial positional and optical features of the LED array.

Main Results:

The proposed method demonstrated superior reconstruction accuracy compared to existing system correction techniques.
Simulation and experimental results validated the effectiveness of the optimized error parameter correction.
Achieved high-quality 2D phase and 3D refractive index imaging.

Conclusions:

The developed method significantly improves reconstruction accuracy in LED array microscopy.
This approach is effective for systems with arbitrarily placed LED arrays and unknown optical characteristics.
Offers a reliable solution for enhancing image quality in computational microscopy.