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

You might also read

Related Articles

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

Sort by
Same author

Timing of Tourniquet Release: A Prospective Randomized Trial.

Hand (New York, N.Y.)·2026
Same author

Quantifying errors in the Jarzynski estimator.

Physical review. E·2026
Same author

Comparison of Unplanned Extubations Associated with Orotracheal versus Nasotracheal Intubation in Infants.

Journal of perinatology : official journal of the California Perinatal Association·2026
Same author

Genetic disorders and associated morbidity, mortality, and congenital anomalies in preterm infants born at less than 34 weeks of gestation.

BMC pediatrics·2025
Same author

Author Correction: Exome analysis links kidney malformations to developmental disorders and reveals causal genes.

Nature communications·2025
Same author

Exome analysis links kidney malformations to developmental disorders and reveals causal genes.

Nature communications·2025

Related Experiment Video

Updated: May 8, 2026

An In Vitro Single-Molecule Imaging Assay for the Analysis of Cap-Dependent Translation Kinetics
09:52

An In Vitro Single-Molecule Imaging Assay for the Analysis of Cap-Dependent Translation Kinetics

Published on: September 15, 2020

Detection of Steps in Single Molecule Data.

Tanuj Aggarwal1, Donatello Materassi, Robert Davison

  • 1Department of Electrical and Computer Engineering, University of Minnesota, 200 Union St. SE, Minneapolis, MN 55455, USA.

Cellular and Molecular Bioengineering
|August 20, 2013
PubMed
Summary

This study introduces a new, objective step detection method for single-molecule analysis. It accurately identifies molecular steps even with low signal-to-noise ratios and fast dynamics, overcoming limitations of existing algorithms.

Keywords:
Dwell time sequenceMolecular motorsStep detection

More Related Videos

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Related Experiment Videos

Last Updated: May 8, 2026

An In Vitro Single-Molecule Imaging Assay for the Analysis of Cap-Dependent Translation Kinetics
09:52

An In Vitro Single-Molecule Imaging Assay for the Analysis of Cap-Dependent Translation Kinetics

Published on: September 15, 2020

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Area of Science:

  • Biophysics
  • Single-molecule biophysics
  • Biophysical techniques

Background:

  • Single-molecule investigations reveal molecular behaviors through discrete steps.
  • Measurement noise and probe dynamics limit the accuracy of existing step detection algorithms.
  • Current methods often rely on subjective parameters and perform poorly with low signal-to-noise ratios or high stepping speeds.

Purpose of the Study:

  • To develop a novel, objective step detection algorithm for single-molecule data analysis.
  • To overcome the limitations of existing heuristic-based methods.
  • To accurately analyze molecular steps despite noise and probe dynamics.

Main Methods:

  • Developed a novel step detection method based on noise statistics, requiring no input parameters.
  • Employed an iterative learning process to optimize step-size distributions.
  • Incorporated compensation for probe dynamics by inverting a model of the probe's behavior.
  • Created a comprehensive toolkit for evaluating step detection techniques.

Main Results:

  • The novel method provides objective analysis based solely on noise statistics.
  • Achieved reliable results with significantly lower signal-to-noise ratios and higher stepping speeds.
  • Demonstrated extremely low false positive rates and high accuracy in identifying true steps.
  • The method uniquely accounts for and corrects smoothing effects caused by probe dynamics.
  • Outperformed existing methods in comprehensive evaluations on simulated and experimental data.

Conclusions:

  • The developed step detection method offers superior accuracy and objectivity for single-molecule data analysis.
  • It effectively addresses limitations posed by noise and probe dynamics, enabling analysis of challenging datasets.
  • This advancement facilitates more reliable characterization of molecular conformational changes and dynamics.