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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.1K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

19.8K
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,...
19.8K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.7K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.7K

You might also read

Related Articles

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

Sort by
Same author

Timestep-conditioned Attention and Multi-dimensional Evidence framework for efficient multimodal chest X-ray anomaly detection.

Scientific reports·2026
Same author

Implementation of an adaptive-optics assisted isoSTED nanoscope.

Nature protocols·2026
Same author

Visualizing intraorganellar ultrastructures, dynamics, and interactions with open-access background-free Lock-in-SIM.

Nature communications·2025
Same author

Eco-friendly production of AgNPs by ultrasound-intensified continuous method, and process evaluation via life cycle assessment and machine learning.

Ultrasonics sonochemistry·2025
Same author

Single-shot X-ray and near-infrared (NIR) dual-mode fusion imaging based on bifunctional NIR scintillators.

Light, science & applications·2025
Same author

Analytical model of a microlens array homogenizer based on an angular spectrum diffraction method.

Applied optics·2025

Related Experiment Video

Updated: Dec 26, 2025

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

25.9K

Fast reconstruction algorithm for structured illumination microscopy.

Shijie Tu, Qiulan Liu, Xin Liu

    Optics Letters
    |March 13, 2020
    PubMed
    Summary
    This summary is machine-generated.

    We developed a new spatial domain algorithm for structured illumination microscopy (SIM) that significantly speeds up super-resolution image reconstruction. This faster method achieves comparable resolution to traditional Fourier domain techniques.

    More Related Videos

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
    14:09

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

    Published on: November 16, 2019

    7.3K
    Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
    10:07

    Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

    Published on: April 9, 2014

    10.4K

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.9K
    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
    14:09

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

    Published on: November 16, 2019

    7.3K
    Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
    10:07

    Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

    Published on: April 9, 2014

    10.4K

    Area of Science:

    • Microscopy
    • Biophysics
    • Image Processing

    Background:

    • Structured Illumination Microscopy (SIM) offers super-resolution imaging capabilities.
    • Current reconstruction algorithms, like Linear Reconstruction SIM (LRSIM) in the Fourier domain, are computationally intensive, limiting imaging speed.

    Purpose of the Study:

    • To introduce a novel, faster reconstruction algorithm for SIM.
    • To enable direct processing of SIM data in the spatial domain.

    Main Methods:

    • Developed a new spatial domain reconstruction algorithm for SIM.
    • Validated the algorithm using simulated and experimental data with sinusoidal pattern illumination.
    • Confirmed applicability to speckle pattern illumination.

    Main Results:

    • The novel spatial domain algorithm achieves comparable resolution to LRSIM.
    • The new algorithm offers significantly faster processing speeds.
    • Demonstrated effectiveness with both sinusoidal and speckle pattern illumination.

    Conclusions:

    • The developed spatial domain algorithm provides a faster alternative for SIM image reconstruction.
    • This advancement can accelerate super-resolution imaging applications in various scientific fields.