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 Experiment Videos

A non-Gaussian distribution quantifies distances measured with fluorescence localization techniques.

L Stirling Churchman1, Henrik Flyvbjerg, James A Spudich

  • 1Department of Biochemistry, Stanford University School of Medicine, Stanford, California 94305, USA.

Biophysical Journal
|November 1, 2005
PubMed
Summary

Understanding measurement errors in single-molecule fluorescence localization is crucial for short-distance measurements. This study introduces a non-Gaussian distribution to accurately interpret these distances, improving upon traditional Gaussian methods.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Mavacamten shows broad benefit in human and mouse models of MYBPC3-related hypertrophic cardiomyopathy.

Nature cardiovascular research·2026
Same author

The E525K β-Myosin Mutation Causes Hypocontractility in Cardiomyocytes Without Altering Loaded Crossbridge Cycling.

bioRxiv : the preprint server for biology·2026
Same author

The hypertrophic cardiomyopathy mutation G768R makes cardiac myosin a high duty ratio motor.

bioRxiv : the preprint server for biology·2026
Same author

Dynamics of the β-cardiac myosin auto-inhibited state explain cardiomyopathy pathogenesis.

Nature communications·2026
Same author

Copper depletion boosts CNS leukemia therapy by inhibiting nucleotide synthesis through impairment of mitochondrial complex IV activity.

Nature cancer·2026
Same author

How is agentic AI changing how we do science?

Cell systems·2026

Area of Science:

  • Biophysics
  • Optical Microscopy
  • Nanotechnology

Background:

  • Single-molecule fluorescence localization techniques (SMFLT) are vital for nanoscale measurements.
  • Pushing SMFLT to measure shorter distances introduces significant measurement errors.
  • Accurate interpretation of these errors is essential for reliable nanoscale biophysics.

Purpose of the Study:

  • To address the challenge of interpreting measurement errors in SMFLT at short distances.
  • To introduce and validate a non-Gaussian distribution model for distance measurements.
  • To improve the accuracy of colocalization analysis in high-resolution imaging.

Main Methods:

  • Development of a non-Gaussian distribution model for analyzing localization data.
  • Application of the model to single-molecule high-resolution colocalization data.

Related Experiment Videos

  • Comparison of results with traditional Gaussian distribution analysis.

    • Main Results:

    • The non-Gaussian distribution accurately interprets measured distances at the nanoscale.
    • Analysis of 10 nm distance data yielded correct results using the non-Gaussian model.
    • Gaussian distribution analysis resulted in systematically overestimated distances.

    Conclusions:

    • A non-Gaussian distribution is key for accurate interpretation of SMFLT distance measurements.
    • This approach corrects systematic errors inherent in Gaussian-based analyses.
    • The findings enhance the reliability of nanoscale distance measurements in various scientific fields.