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

Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time03:52

Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time

709
In this video, we demonstrate the process of real-time monitoring of cellular events, including the proliferation of adherent cells, via a cellular impedance assay. Here, the adherent cells act as insulators, restricting the current flow between the electrodes and increasing the...
709
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

1.6K
This study introduces a novel approach for real-time cardiac mapping using a noninvasive, imageless electrocardiographic imaging system. This system enables the acquisition of electrophysiological cardiac maps without requiring pre-procedural computed tomography or magnetic resonance imaging scans, enabling efficient guidance for cardiac procedures such as ablation and cardiac resynchronization therapy implants.
1.6K
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

2.9K
We present a method, which utilizes a generalizable area-based image analysis approach to identify cell counts. Analysis of different cell populations exploited the significant cell height and structure differences between distinct cell types within an adaptive...
2.9K
Real-Time fMRI Brain Mapping in Animals04:05

Real-Time fMRI Brain Mapping in Animals

4.0K
Animal brain functional mapping can benefit from the real-time functional magnetic resonance imaging (fMRI) experimental set-up. Using the latest software implemented in the animal MRI system, we established a real-time monitoring platform for small animal...
4.0K
Real-Time Imaging of Bonding in 3D-Printed Layers04:36

Real-Time Imaging of Bonding in 3D-Printed Layers

3.9K
With a non-invasive and real-time technique, nanoscopic polymer motion inside a polymer filament is imaged during 3D printing. Fine-tuning this motion is crucial for producing constructs with optimal performance and appearance. This method reaches the core of plastic layer fusion, thus offering insights into optimal printing conditions and material design...
3.9K
Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs10:28

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

33.8K
Circulating microRNAs have recently emerged as promising and novel biomarkers for various cancers and other diseases. The goal of this article is to discuss three different probe-based real-time PCR platforms and methods that are available to quantify and determine the abundance of circulating...
33.8K

You might also read

Related Articles

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

Sort by
Same author

Decoupled Graph Attention Modeling and Anomaly Traceability Method for Multisystem Coupling in SLM Equipment.

Sensors (Basel, Switzerland)·2026
Same author

Liquid biopsy-based genomic risk score to predict neurologic death in non-small cell lung cancer patients.

Journal of neuro-oncology·2026
Same author

Multi-target positioning and motion tracking enabled by a compound meta-eye system.

Microsystems & nanoengineering·2026
Same author

Engineered piezoelectric dressings advance cutaneous wound healing.

Bioactive materials·2026
Same author

Identification of susceptibility modules and genes through WGCNA and ceRNA network analysis in neuropathic pain-induced anxiodepression.

Translational psychiatry·2026
Same author

Natural history of focal nodular hyperplasia on gadoxetic acid-enhanced MRI: a multicenter cohort study.

Abdominal radiology (New York)·2026
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jan 19, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

1.6K

Multimorphological top-hat-based multiscale target classification algorithm for real-time image processing.

Zhenzhen Chen, Fei Xing, Zheng You

    Applied Optics
    |September 11, 2019
    PubMed
    Summary
    This summary is machine-generated.

    A novel multi-top-hat algorithm enhances target detection by effectively separating multiscale spots, outperforming traditional methods in applications like microfluidics and aerospace. This method ensures target integrity and noise suppression for accurate analysis.

    More Related Videos

    Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
    07:05

    Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

    Published on: February 15, 2022

    2.9K
    Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time
    03:52

    Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time

    709

    Related Experiment Videos

    Last Updated: Jan 19, 2026

    Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
    10:17

    Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

    Published on: April 11, 2025

    1.6K
    Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
    07:05

    Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

    Published on: February 15, 2022

    2.9K
    Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time
    03:52

    Cellular Impedance-Based Analysis for Monitoring of Cellular Processes in Real-Time

    709

    Area of Science:

    • Image processing
    • Computer vision
    • Scientific instrumentation

    Background:

    • Traditional top-hat method offers fast target-background separation but struggles with multiscale targets.
    • Applications in microfluidics, medicine, aerospace, and optical measurement require robust handling of varying target sizes.
    • Existing methods fail to extract and classify targets with diverse formation mechanisms and sizes.

    Purpose of the Study:

    • To address the limitations of the traditional top-hat method in handling multiscale targets.
    • To develop an improved algorithm for accurate extraction and classification of targets with specific sizes.
    • To enhance noise suppression and ensure target integrity in complex imaging scenarios.

    Main Methods:

    • Investigated imaging mechanisms of different spot types.
    • Proposed an improved top-hat method utilizing a gray-scale value-based transform.
    • Developed a multi-top-hat algorithm for distinguishing spots of varying sizes.

    Main Results:

    • The improved algorithm effectively removes unwanted spots and extracts targets of specific sizes.
    • Validated effectiveness through simulated and real image analysis.
    • Demonstrated the resolution dependency on parameter k and the capability for real-time multiscale detection.

    Conclusions:

    • The proposed multi-top-hat algorithm significantly improves upon the traditional method for multiscale target detection.
    • The algorithm is effective in removing noise and preserving target integrity across different scales.
    • Potential applications include real-time multiscale target detection and tracking in various scientific and industrial fields.