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...

Confocal Fluorescence Microscopy

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

You might also read

Related Articles

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

Sort by

Same author

Breakdown Strength Enhancement and Space Charge Suppression of Low-density Polyethylene by Adding Fluorinated Graphene.

Langmuir : the ACS journal of surfaces and colloids·2026

Same author

Discovery of Mg<sub>3</sub>Zn<sub>2</sub> Intermetallic Phase in the Mg-Zn System Enabled by Neuroevolution Potentials.

Inorganic chemistry·2026

Same author

Palea and grain shrunken encoding OsMADS15 determines palea identity to affect rice grain yield and quality.

Journal of genetics and genomics = Yi chuan xue bao·2026

Same author

Effect of Cl-Doping on K<sub>3</sub>PS<sub>4</sub> as a Superionic Solid Electrolyte for K-Ion Batteries.

Inorganic chemistry·2026

Same author

Retraction notice to "Jiedu Tongluo Baoshen formula enhances renal tubular epithelial cell autophagy to prevent renal fibrosis by activating SIRT1/LKB1/AMPK pathway" [Biomedicine & Pharmacotherapy 160 (2023) 114340].

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026

Same author

Bifunctional DNA multivalent structure integrating stable capture of urothelial carcinoma cells with CRISPR/Cas12a signal amplification for bladder cancer detection.

Biosensors & bioelectronics·2026

Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026

Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026

Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026

Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026

Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026

Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 8, 2026

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Published on: August 5, 2009

Modeling the depth-sectioning effect in reflection-mode dynamic speckle-field interferometric microscopy.

Renjie Zhou, Di Jin, Poorya Hosseini

|January 14, 2017

Summary

This summary is machine-generated.

Dynamic speckle-field interferometric microscopy (DSIM) uses spatial-coherence gating for depth sectioning. A new physical model explains DSIM

More Related Videos

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

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

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

Published on: July 5, 2016

Related Experiment Videos

Last Updated: Mar 8, 2026

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Published on: August 5, 2009

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

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

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

Published on: July 5, 2016

Area of Science:

Optical microscopy
Biophotonics
Interferometry

Background:

Most optical coherence microscopy (OCM) systems lack depth sectioning capabilities.
Dynamic speckle-field interferometric microscopy (DSIM) achieves depth sectioning via spatial-coherence gating.
Previous DSIM experiments showed sub-micrometer depth resolution but lacked a physical model.

Purpose of the Study:

To develop a physical model for DSIM's speckle imaging process.
To explain the depth sectioning effect under high numerical aperture (NA) settings.
To enable improved design of DSIM systems for biological imaging.

Main Methods:

Developed a physical model based on diffraction tomography theory and speckle statistics.
Calculated the system response function using the developed model.
Determined the depth resolution limit in reflection-mode DSIM.

Main Results:

The physical model accurately describes the speckle imaging process in DSIM.
Theoretically calculated depth resolution aligns with experimental findings.
The model validates DSIM's capability for high-resolution depth sectioning.

Conclusions:

The developed physical model provides a rigorous understanding of DSIM.
The model facilitates the design of advanced DSIM systems.
DSIM shows promise for precise depth-resolved measurements in biological samples.