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

Cross-Species Sex Identification and Comparative Analysis of the <i>SRY</i> Gene in American Mammals.

Animals : an open access journal from MDPI·2026
Same author

Dehydrocostus lactone attenuates hyperthyroidism-induced myocardial remodeling and injury via modulation of the oxidative stress-autophagy-inflammation axis with involvement of mTOR signaling.

Tissue & cell·2026
Same author

Cross-species transcriptomic evidence for peripheral-central immune crosstalk in atopic dermatitis.

Frontiers in immunology·2026
Same author

TET1 Inhibition Promotes Therapeutic Sensitivity in TP53-Mutant GBM by Influencing Genome Fragility and Altering TAMs Biology.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Efficacy, safety, and immunogenicity of an Escherichia coli-produced nine-valent human papillomavirus vaccine: a multicentre, double-blind, randomised, controlled, phase 3 trial.

The Lancet. Infectious diseases·2026
Same author

FCGR2B drives immunosuppressive M2 polarization of tumor-associated macrophages via metabolic reprogramming of fatty acid oxidation.

Cell cycle (Georgetown, Tex.)·2026

Related Experiment Video

Updated: Jan 16, 2026

Fish Sperm Assessment Using Software and Cooling Devices
07:57

Fish Sperm Assessment Using Software and Cooling Devices

Published on: July 28, 2018

9.2K

Fully On-Smartphone: Efficient Speed-Up of Sperm Tracking Algorithm for Point-of-Care Semen Analysis.

Yongbin Zheng, Aojun Jiang, Xiliang Wang

    IEEE Transactions on Bio-Medical Engineering
    |September 29, 2025
    PubMed
    Summary

    A new smartphone system offers accurate, low-cost semen analysis at the point of care. The Global-Local Integrated JPDAF (GLIJPDAF) overcomes computational limits for dense sperm tracking on mobile devices.

    More Related Videos

    Real-time Tracking of DNA Fragment Separation by Smartphone
    06:58

    Real-time Tracking of DNA Fragment Separation by Smartphone

    Published on: June 1, 2017

    15.3K
    Measuring Sperm Guidance and Motility within the Caenorhabditis elegans Hermaphrodite Reproductive Tract
    10:07

    Measuring Sperm Guidance and Motility within the Caenorhabditis elegans Hermaphrodite Reproductive Tract

    Published on: June 6, 2019

    12.9K

    Related Experiment Videos

    Last Updated: Jan 16, 2026

    Fish Sperm Assessment Using Software and Cooling Devices
    07:57

    Fish Sperm Assessment Using Software and Cooling Devices

    Published on: July 28, 2018

    9.2K
    Real-time Tracking of DNA Fragment Separation by Smartphone
    06:58

    Real-time Tracking of DNA Fragment Separation by Smartphone

    Published on: June 1, 2017

    15.3K
    Measuring Sperm Guidance and Motility within the Caenorhabditis elegans Hermaphrodite Reproductive Tract
    10:07

    Measuring Sperm Guidance and Motility within the Caenorhabditis elegans Hermaphrodite Reproductive Tract

    Published on: June 6, 2019

    12.9K

    Area of Science:

    • Biomedical Engineering
    • Mobile Health Technology
    • Reproductive Health Diagnostics

    Background:

    • Semen analysis is crucial for male infertility diagnosis.
    • Current methods are often lab-based, costly, and inaccessible in low-resource settings.
    • Computational challenges exist in analyzing dense sperm samples on resource-constrained mobile devices.

    Purpose of the Study:

    • To develop an affordable, accurate, smartphone-based system for point-of-care semen analysis.
    • To address computational bottlenecks in tracking high-density sperm samples on mobile devices.

    Main Methods:

    • Developed a portable optical attachment for smartphone microscopy.
    • Introduced the Global-Local Integrated JPDAF (GLIJPDAF) algorithm to overcome computational bottlenecks in sperm tracking.
    • Implemented a two-stage clustering strategy: global clustering for matrix partitioning and local clustering with adaptive k-means++ for complexity capping.

    Main Results:

    • GLIJPDAF achieved high accuracy on 90 patient samples across four smartphone platforms.
    • Mean concentration error was 0.84 million/mL and mean motility error was 0.74%.
    • Processing time per 3-second video was consistently under 120 seconds on all tested devices.

    Conclusions:

    • Smartphone integration of GLIJPDAF enables rapid, accurate point-of-care semen analysis, even for high-density samples on limited-resource devices.
    • This accessible solution can expand male infertility screening in underserved regions.