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

Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by

Same author

Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection.

Autonomous intelligent systems·2026

Same author

Feasibility and safety of parallel Shockwave® balloon percutaneous mitral valvuloplasty for degenerative mitral stenosis.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology·2026

Same author

Right Ventricular Metastasis From Rectal Cancer Recurrence.

JACC. Case reports·2026

Same author

Never Stop Looking - the Heart is Not Always the Answer.

Arquivos brasileiros de cardiologia·2026

Same author

Recognizing neurogenic bladder in diabetes: a call for early detection and multidisciplinary approach.

Clinical autonomic research : official journal of the Clinical Autonomic Research Society·2026

Same author

Reversible dilated cardiomyopathy in systemic lupus erythematosus: A case report.

Lupus·2025

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: Jun 29, 2026

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Published on: July 10, 2016

Generic FPGA Pre-Processing Image Library for Industrial Vision Systems.

Diogo Ferreira^1,2, Filipe Moutinho^2,3, João P Matos-Carvalho^3,4

¹INTROSYS SA, 2950-805 Quinta do Anjo, Portugal.

Sensors (Basel, Switzerland)

|September 28, 2024

Summary

This summary is machine-generated.

This study introduces a generic library of pre-processing filters for field-programmable gate arrays (FPGAs) to accelerate machine vision systems. FPGA implementation significantly reduces image processing time from milliseconds to nanoseconds for industrial applications.

Keywords:

FPGA GPU industrial vision systems pre-processing image library

More Related Videos

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Published on: September 15, 2016

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Published on: April 28, 2022

Related Experiment Videos

Last Updated: Jun 29, 2026

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Published on: July 10, 2016

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Published on: September 15, 2016

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

Published on: April 28, 2022

Area of Science:

Computer Engineering
Image Processing
Hardware Acceleration

Background:

Increasing demand for diverse, high-quality products necessitates advancements in industrial machine vision.
Growing complexity in industrial systems requires enhanced processing efficiency for vision-based algorithms.
Hardware acceleration is critical for meeting the demands of future industrial vision systems.

Purpose of the Study:

To present a generic library of pre-processing filters for Field-Programmable Gate Arrays (FPGAs).
To reduce overall image processing time in machine vision systems through hardware acceleration.
To evaluate the performance and industrial applicability of FPGA-based image pre-processing.

Main Methods:

Developed a generic library of pre-processing filters implemented in VHDL (VHSIC hardware description language).
Utilized an experimental setup based on the Zybo Z7 Pcam 5C Demo project for filter validation.
Compared execution times against Graphics Processing Unit (GPU) and Central Processing Unit (CPU) platforms.

Main Results:

Achieved a significant reduction in image pre-processing time, decreasing it from milliseconds to nanoseconds using FPGAs.
Demonstrated the effectiveness of the VHDL-based filter library on the experimental hardware.
Evaluated the integration potential of the developed solution in industrial settings.

Conclusions:

FPGA-based pre-processing offers substantial speed improvements for machine vision tasks.
The generic filter library provides a viable solution for accelerating industrial image processing.
This approach addresses the need for efficient hardware acceleration in evolving industrial systems.