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

Passive Filters

Passive Filters

Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff frequency...

Active Filters

Active Filters

Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:

Filtration

Filtration

Filtration is a physical separation process that involves passing a suspension through a porous medium to separate solids from fluids. During filtration, solids collect on the porous medium while liquids, also collectively known as the filtrate, pass through. The filtration medium is selected based on the filtration purpose, quantity, and nature of the precipitate. The general criteria for a suitable filtering medium are that it is inert, mechanically strong, nonabsorbent toward dissolved...

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...

Phase Contrast and Differential Interference Contrast Microscopy

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

You might also read

Related Articles

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

Sort by

Same author

Real-time recording medium: photodichroic KF:LiF.

Applied optics·2010

Same author

A double-blind, randomised- placebo, controlled, parallel group, multicentre, flexible-dose escalation study to assess the efficacy and safety of sildenafil administered as required to male outpatients with erectile dysfunction in Korea.

International journal of impotence research·2003

Same author

Updated gestational age specific birth weight, crown-heel length, and head circumference of Chinese newborns.

Archives of disease in childhood. Fetal and neonatal edition·2003

Same author

Conditional loss of TGF-beta signalling leads to increased susceptibility to gastrointestinal carcinogenesis in mice.

Alimentary pharmacology & therapeutics·2002

Same author

Identification of new endogenous retroviral sequences belonging to the HERV-W family in human cancer cells.

Intervirology·2002

Same author

A comparison of methods for yeast identification including CHROMagar Candida, Vitek system YBC and a traditional biochemical method.

Zhonghua yi xue za zhi = Chinese medical journal; Free China ed·2002

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Matched filter optical processor.

W H Lee, M O Greer

|February 4, 2010

Summary

This summary is machine-generated.

A novel optical processor utilizes a computer-generated matched filter for synthetic aperture radar data processing. This approach enhances tracking capabilities and offers detailed insights into filter generation and experimental outcomes.

More Related Videos

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

Related Experiment Videos

Last Updated: Jun 16, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

Area of Science:

Optics
Signal Processing
Radar Technology

Background:

Synthetic Aperture Radar (SAR) systems generate complex data requiring sophisticated processing.
Optical processing offers potential advantages in speed and efficiency for SAR data analysis.

Purpose of the Study:

To introduce and describe a new tracking optical processor for SAR data.
To detail the considerations involved in generating computer-generated matched filters for this processor.
To present experimental results validating the processor's performance.

Main Methods:

Development of a tracking optical processor architecture.
Implementation of computer-generated matched filtering techniques for SAR data.
Experimental validation using representative SAR datasets.

Main Results:

Successful demonstration of the optical processor's capability to process SAR data.
Presentation of detailed experimental results showcasing the matched filter's effectiveness.
Validation of the tracking functionality within the optical processing system.

Conclusions:

The developed tracking optical processor provides an effective method for SAR data analysis.
Computer-generated matched filters are crucial for achieving high-performance optical SAR processing.
The experimental results confirm the viability and potential of this optical processing approach for radar applications.