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

14.7K
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...
14.7K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

12.1K
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...
12.1K

You might also read

Related Articles

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

Sort by
Same author

[Etiology and pathogens of fungal endophthalmitis].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2015
Same author

Eucommia ulmoides Oliv. bark aqueous extract inhibits osteoarthritis in a rat model of osteoarthritis.

Journal of ethnopharmacology·2015
Same author

Aucubin prevents interleukin-1 beta induced inflammation and cartilage matrix degradation via inhibition of NF-κB signaling pathway in rat articular chondrocytes.

International immunopharmacology·2015
Same author

Treatment with recombinant lubricin attenuates osteoarthritis by positive feedback loop between articular cartilage and subchondral bone in ovariectomized rats.

Bone·2015
Same author

Tet1-mediated DNA demethylation regulates neuronal cell death induced by oxidative stress.

Scientific reports·2015
Same author

Authors' reply.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·2015
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Mar 12, 2026

Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.7K

Statistical precision in super-resolution optical fluctuation imaging.

Xuehua Wang, Danni Chen, Bin Yu

    Applied Optics
    |November 10, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Super-resolution optical fluctuation imaging (SOFI) improves resolution by analyzing emitter fluctuations. This study provides theoretical expressions for cumulant uncertainty and guides SOFI optimization for better image quality.

    More Related Videos

    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
    14:23

    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

    Published on: March 6, 2018

    11.5K
    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    12.2K

    Related Experiment Videos

    Last Updated: Mar 12, 2026

    Test Samples for Optimizing STORM Super-Resolution Microscopy
    16:52

    Test Samples for Optimizing STORM Super-Resolution Microscopy

    Published on: September 6, 2013

    31.7K
    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
    14:23

    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

    Published on: March 6, 2018

    11.5K
    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    12.2K

    Area of Science:

    • Optical microscopy
    • Super-resolution imaging
    • Biophysics

    Background:

    • Super-resolution optical fluctuation imaging (SOFI) enhances spatial resolution using spatiotemporal cross-cumulants of emitter intensity fluctuations.
    • Practical SOFI applications are limited by statistical uncertainty in cumulants, stemming from finite data lengths, affecting image continuity and homogeneity.
    • Understanding cumulant uncertainty is crucial for improving SOFI performance.

    Purpose of the Study:

    • To determine theoretical expressions for the variance and signal-to-noise ratio (SNR) of cumulants based on a single dataset.
    • To quantitatively relate the SNR of cumulants to key parameters of blinking fluorescent emitters through simulations.
    • To provide a physical interpretation of SOFI phenomena and offer guidance for optimizing practical SOFI outcomes.

    Main Methods:

    • Developed theoretical expressions for cumulant variance and SNR.
    • Simulated temporal fluctuations of blinking fluorescent emitters.
    • Calculated the quantitative relationship between cumulant SNR and blinking signal parameters (on-time ratio, frame rate ratio, sequence length, photon amplitude).

    Main Results:

    • Established theoretical expressions for cumulant statistical uncertainty (variance and SNR).
    • Quantified the impact of blinking signal parameters on cumulant SNR through simulations.
    • Identified key parameters influencing SOFI image quality and reliability.

    Conclusions:

    • The study provides a theoretical framework for understanding and quantifying cumulant uncertainty in SOFI.
    • Simulation results offer practical guidance for optimizing experimental parameters to achieve higher SNR and improved SOFI image quality.
    • This work contributes to the advancement of super-resolution microscopy techniques by addressing limitations in data analysis and experimental design.