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

Generation of robust entanglement in plasmonically coupled quantum dots driven by quantum squeezed light.

The Journal of chemical physics·2026
Same author

Barbaloin Alleviates Lung Ischemia-Reperfusion Injury by Dual-Targeting IL-6 and PNP.

International journal of molecular sciences·2026
Same author

Development of National Anticoagulation Guidelines for Pregnant Women with Mechanical Heart Valves in Rwanda.

Cardiovascular journal of Africa·2026
Same author

Staged Hybrid Treatment of a Large Aneurysmal Pulmonary Sequestration With Thoracic Endovascular Aortic Repair Followed by Lobectomy.

Annals of thoracic surgery short reports·2026
Same author

Widespread transcriptional memory shapes heritable states and functional heterogeneity in cancer and stem cells.

Cell systems·2026
Same author

<i>NFE2L2</i>-Associated Ferroptosis Resistance Reshapes the Tumor Immune Microenvironment and Guides Therapeutic Strategies in Prostate Cancer.

International journal of molecular sciences·2026

Related Experiment Video

Updated: Feb 17, 2026

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

3.0K

Analysis and correction of errors in nanoscale particle tracking using the Single-pixel interior filling function

Yuval Yifat1, Nishant Sule1, Yihan Lin2

  • 1James Franck Institute, The University of Chicago, Chicago Il, 60637, USA.

Scientific Reports
|November 30, 2017
PubMed
Summary
This summary is machine-generated.

Pixel locking causes systematic errors in particle tracking. The new Single-Pixel Interior Filling Function (SPIFF) algorithm significantly reduces these errors, improving accuracy in diverse scientific imaging applications.

More Related Videos

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.4K
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

11.9K

Related Experiment Videos

Last Updated: Feb 17, 2026

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

3.0K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.4K
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

11.9K

Area of Science:

  • Optical microscopy
  • Nanotechnology
  • Biophysics

Background:

  • Particle tracking is crucial for scientific research, aiming for sub-pixel accuracy.
  • Existing algorithms suffer from 'pixel locking,' a systematic error biasing particle positions towards pixel centers.
  • This error is prominent in images with small particles, particle proximity, or background noise, reducing tracking precision.

Purpose of the Study:

  • To demonstrate the severity of pixel locking errors in particle tracking.
  • To introduce and validate the Single-Pixel Interior Filling Function (SPIFF) algorithm as a corrective measure.
  • To highlight the broad applicability of SPIFF across various experimental fields.

Main Methods:

  • Tracking experimental and simulated imaging data of optically trapped silver nanoparticles.
  • Tracking single fluorescent proteins using advanced imaging techniques.
  • Quantifying errors in interparticle separation, angle, and mean square displacement before and after SPIFF correction.

Main Results:

  • Pixel locking introduces significant systematic errors in particle position determination.
  • Application of the SPIFF algorithm substantially reduces errors in interparticle separation and angle.
  • SPIFF correction also leads to a significant improvement in mean square displacement calculations.

Conclusions:

  • Pixel locking is a widespread issue impacting particle tracking accuracy in scientific imaging.
  • The SPIFF algorithm effectively corrects pixel locking errors, enhancing tracking precision.
  • SPIFF offers a general solution applicable to diverse experimental fields requiring accurate particle localization.