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

Transumbilical laparoendoscopic single-site surgery versus conventional multi-port laparoscopy for myomectomy: A large single-center retrospective study.

Acta obstetricia et gynecologica Scandinavica·2026
Same author

Effect of perioperative targeted therapy duration on prognosis in patients with gastrointestinal stromal tumors undergoing neoadjuvant imatinib therapy: A nationwide retrospective study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology·2026
Same author

Adaptive deformation decomposition network for unsupervised medical image registration.

Biomedical physics & engineering express·2026
Same author

Mn/V Co-Doping Enables Multielectron Transfer and Above-Theoretical Capacity in Na<sub>4</sub>Fe<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub>P<sub>2</sub>O<sub>7</sub> Cathode.

Small methods·2026
Same author

Author Correction: CAF-derived GLUT1 and its role in modulating ovarian cancer progression: a multi-dimensional analysis of the tumor microenvironment.

Communications biology·2026
Same author

Reconstructing shared visual experiences from human brain activity across individuals.

Medical image analysis·2026

Related Experiment Video

Updated: Dec 21, 2025

Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
06:56

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

12.6K

Strain Measurement Based on Speeded-up Robust Feature Algorithm Applied to Microimages from a Smartphone-Based

Botao Xie1,2, Jinke Li1,2, Xuefeng Zhao1,2

  • 1School of Civil Engineering, Dalian University of Technology, Dalian 116024, China.

Sensors (Basel, Switzerland)
|May 21, 2020
PubMed
Summary

This study enhances strain measurement accuracy using smartphone microimages and the Speeded Up Robust Features (SURF) method. The improved technique achieves high precision, meeting structural health monitoring needs.

Keywords:
M-estimator sample consensus (MSAC)microimagessmartphonespeeded-up robust feature (SURF)strain measurement

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K
Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.9K

Related Experiment Videos

Last Updated: Dec 21, 2025

Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
06:56

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

12.6K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K
Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.9K

Area of Science:

  • Optics and Photonics
  • Materials Science
  • Computer Vision

Background:

  • Accurate strain measurement is crucial for structural health monitoring (SHM).
  • Traditional methods can be complex or require specialized equipment.
  • Mobile microscopy offers a portable and accessible imaging solution.

Purpose of the Study:

  • To evaluate and enhance a strain measurement method using Speeded Up Robust Features (SURF) for microimage analysis.
  • To improve the accuracy and stability of strain measurement from smartphone-acquired microimages.
  • To validate the method's applicability in practical engineering scenarios.

Main Methods:

  • Utilized a smartphone with a portable microscope to capture microimages of an unpacked optical fiber.
  • Applied the Speeded Up Robust Features (SURF) algorithm for feature point displacement tracking.
  • Implemented the M-estimator sample consensus (MSAC) algorithm to mitigate outlier effects from SURF.
  • Modified feature point tracking and measurement techniques to optimize accuracy.

Main Results:

  • The enhanced SURF method demonstrated improved accuracy and stability in strain measurement.
  • Outlier rejection using MSAC effectively improved data reliability.
  • Strain measurement results showed a maximum standard error of 2.5 με when compared to Fiber Bragg Grating (FBG) data.
  • The method's performance satisfies requirements for structural health monitoring (SHM).

Conclusions:

  • The developed strain measurement technique using smartphone microimages and enhanced SURF is accurate and stable.
  • This method offers a promising, low-cost, and portable solution for SHM.
  • The findings support the practical application of mobile microscopy in engineering diagnostics.