Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Flow Cytometry

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...

You might also read

Related Articles

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

Sort by

Same author

Ultrasonography-guided single-port transaxillary endoscopic excision for breast fibroadenoma: a retrospective comparative study of technical feasibility and early outcomes.

BMC surgery·2026

Same author

Characterization of multi-stage metabolic alterations in hepatitis B virus-related acute-on-chronic liver failure using high-coverage metabolomics.

Metabolomics : Official journal of the Metabolomic Society·2026

Same author

Masculinity under pressure: How gender norms shape men's mental health help-seeking in the post-pandemic era.

Social science & medicine (1982)·2026

Same author

Observation of high-order quantum Pancharatnam-Berry phase with structured photons.

Fundamental research·2026

Same author

Online Pairwise Comparisons Survey on Disability Weight for Chronic Cadmium Poisoning - Shenyang City, Liaoning Province, China, June-August 2022.

China CDC weekly·2026

Same author

Organoids glimpse: the nexus for diverse tumor heterogeneity.

Frontiers in cell and developmental biology·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 19, 2025

Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry

Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry

Published on: December 12, 2013

Coal Flow Foreign Body Classification Based on ESCBAM and Multi-Channel Feature Fusion.

Qiqi Kou¹, Haohui Ma², Jinyang Xu²

¹School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.

Sensors (Basel, Switzerland)

|August 12, 2023

Summary

This summary is machine-generated.

This study introduces an efficient deep learning network for classifying foreign bodies on belt conveyors. The novel approach enhances accuracy and processing speed while reducing computational complexity for improved coal transportation safety.

Keywords:

attentional mechanism features fusion foreign body classification multiple channels

More Related Videos

Identification of a Murine Erythroblast Subpopulation Enriched in Enucleating Events by Multi-spectral Imaging Flow Cytometry

Identification of a Murine Erythroblast Subpopulation Enriched in Enucleating Events by Multi-spectral Imaging Flow Cytometry

Published on: June 6, 2014

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Published on: November 3, 2018

Related Experiment Videos

Last Updated: Jul 19, 2025

Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry

Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry

Published on: December 12, 2013

Identification of a Murine Erythroblast Subpopulation Enriched in Enucleating Events by Multi-spectral Imaging Flow Cytometry

Identification of a Murine Erythroblast Subpopulation Enriched in Enucleating Events by Multi-spectral Imaging Flow Cytometry

Published on: June 6, 2014

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Published on: November 3, 2018

Area of Science:

Engineering
Computer Science
Artificial Intelligence

Background:

Foreign bodies in belt conveyors cause significant operational issues like scratching, tearing, and plugging.
Existing classification networks suffer from large parameters, high computational complexity, low accuracy, and slow processing speeds.

Purpose of the Study:

To develop a novel deep learning network for effective foreign body classification in coal belt conveyors.
To address the limitations of current methods by improving accuracy, speed, and computational efficiency.

Main Methods:

Proposed a novel network integrating a multi-channel feature fusion strategy for enhanced feature utilization.
Developed an information fusion network using depthwise separable convolution and an improved residual network structure.
Introduced a novel Enhanced Spatial and Channel Attention (ESCBAM) mechanism to improve image context understanding and feature performance.

Main Results:

The proposed method significantly reduces parameters and computational complexity.
Achieved high classification accuracy and fast processing speeds.
Effectively classifies foreign bodies on belt conveyors, demonstrating superior performance.

Conclusions:

The novel network offers a computationally efficient and accurate solution for foreign body detection in coal belt conveyors.
The ESCBAM attention mechanism and multi-channel feature fusion contribute to improved network performance.
This approach enhances the safety and efficiency of coal transportation systems.