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

7.0K
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...
7.0K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

8.1K
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...
8.1K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.3K
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,...
13.3K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.7K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
4.7K

You might also read

Related Articles

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

Sort by
Same author

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

Nature communications·2025
Same author

Association Between Serum Copper and Overactive Bladder in Adults: A Cross-Sectional Study.

Biological trace element research·2025
Same author

Identification and validation of the PARP inhibitor-related gene KANK3 for predicting prognosis and immunotherapeutic response in prostate cancer.

Journal of Cancer·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
Same author

Cellular optical imaging techniques: a dynamic advancing frontier.

Science China. Life sciences·2025

Related Experiment Video

Updated: Jul 4, 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

25.2K

Deep learning enables contrast-robust super-resolution reconstruction in structured illumination microscopy.

Yunbo Chen, Qingqing Liu, Jinfeng Zhang

    Optics Express
    |February 1, 2024
    PubMed
    Summary

    Contrast-robust structured illumination microscopy (CR-SIM) uses a deep neural network to achieve super-resolution imaging even with low-contrast illumination. This innovation overcomes limitations of conventional methods, enabling reliable image reconstruction in challenging conditions.

    More Related Videos

    Super-resolution Imaging of the Cytokinetic Z Ring in Live Bacteria Using Fast 3D-Structured Illumination Microscopy f3D-SIM
    12:44

    Super-resolution Imaging of the Cytokinetic Z Ring in Live Bacteria Using Fast 3D-Structured Illumination Microscopy f3D-SIM

    Published on: September 29, 2014

    20.0K
    Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
    11:55

    Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

    Published on: May 28, 2021

    4.1K

    Related Experiment Videos

    Last Updated: Jul 4, 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

    25.2K
    Super-resolution Imaging of the Cytokinetic Z Ring in Live Bacteria Using Fast 3D-Structured Illumination Microscopy f3D-SIM
    12:44

    Super-resolution Imaging of the Cytokinetic Z Ring in Live Bacteria Using Fast 3D-Structured Illumination Microscopy f3D-SIM

    Published on: September 29, 2014

    20.0K
    Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
    11:55

    Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

    Published on: May 28, 2021

    4.1K

    Area of Science:

    • Microscopy and Imaging Technologies
    • Computational Biology
    • Biophysics

    Background:

    • Structured illumination microscopy (SIM) is vital for super-resolution (SR) imaging.
    • Conventional SIM demands high-contrast illumination, requiring complex and stable optical setups.
    • Suboptimal contrast limits SIM's applicability in many biological research settings.

    Purpose of the Study:

    • To introduce a novel method, contrast-robust structured illumination microscopy (CR-SIM), for enhanced SIM imaging.
    • To demonstrate reliable SR image reconstruction under low-contrast illumination conditions.
    • To broaden the accessibility and application range of SIM technology.

    Main Methods:

    • Development of a deep residual neural network tailored for SIM image reconstruction.
    • Implementation of CR-SIM to process and enhance images acquired with low-contrast illumination patterns.
    • Comparative analysis of CR-SIM performance against conventional SIM techniques.

    Main Results:

    • CR-SIM successfully enhances image quality and enables reliable SR reconstruction with low-contrast illumination.
    • The proposed method mitigates the need for high-precision optics and stable light sources.
    • Demonstrated robustness of CR-SIM in overcoming illumination contrast limitations.

    Conclusions:

    • CR-SIM offers a significant advancement in super-resolution microscopy, particularly for low-contrast scenarios.
    • The method enhances the practicality and versatility of SIM for diverse scientific applications.
    • This work paves the way for more accessible and robust super-resolution imaging in various disciplines.