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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

5.0K
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...
5.0K
Aliasing01:18

Aliasing

200
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
200
Bandpass Sampling01:17

Bandpass Sampling

245
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
245

You might also read

Related Articles

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

Sort by
Same author

Effect of mirror use on lower extremity muscle strength of patients with chronic stroke.

Journal of physical therapy science·2018
Same author

[Analysis of population genetic diversity of mosquitoes from Shandong Province based on mitochondrial DNA cytochrome oxidase subunit I gene fragment].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control·2018
Same author

Asymmetric Total Synthesis of Lancifodilactone G Acetate. 2. Final Phase and Completion of the Total Synthesis.

The Journal of organic chemistry·2018
Same author

Genotoxicity evaluation of multi-component mixtures of polyaromatic hydrocarbons (PAHs), arsenic, cadmium, and lead using flow cytometry based micronucleus test in HepG2 cells.

Mutation research. Genetic toxicology and environmental mutagenesis·2018
Same author

In Situ Embedded Pseudo Pd-Sn Solid Solution in Micropores Silica with Remarkable Catalytic Performance for CO and Propane Oxidation.

ACS applied materials & interfaces·2018
Same author

Manipulating Refractive Index in Organic Light-Emitting Diodes.

ACS applied materials & interfaces·2018

Related Experiment Video

Updated: Aug 25, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

8.1K

Even sampling photonic-integrated interferometric array for synthetic aperture imaging.

Kun Wang, You Qiang Zhu, Qi Chang An

    Optics Express
    |October 15, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A novel even sampling photonic-integrated interferometric array (ESPIA) enhances spatial spectrum sampling for interferometric imaging. This new array configuration improves information acquisition capabilities for imaging systems.

    More Related Videos

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
    11:57

    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

    Published on: December 1, 2016

    10.8K

    Related Experiment Videos

    Last Updated: Aug 25, 2025

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

    Published on: April 1, 2020

    8.1K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
    11:57

    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

    Published on: December 1, 2016

    10.8K

    Area of Science:

    • Photonics
    • Optical Engineering
    • Signal Processing

    Background:

    • Photonic-integrated interferometric imaging requires effective spatial spectrum sampling.
    • Existing methods face limitations in optimizing baseline distribution for enhanced imaging.
    • Advanced array configurations are needed to improve data acquisition in interferometric systems.

    Purpose of the Study:

    • To propose and analyze an even sampling photonic-integrated interferometric array (ESPIA) for improved spatial spectrum sampling.
    • To investigate the effectiveness of ESPIA in enhancing information acquisition for interferometric imaging.
    • To demonstrate the benefits of evenly distributed interferometric baselines in a photonic-integrated system.

    Main Methods:

    • Configuration of ESPIA with equi-spaced concentric rings for subaperture arrays.
    • Utilizing fiber optic channels for beam coupling and transmission to photonic integrated circuits.
    • Employing interferometric beam combination to form baselines.
    • Analysis of ESPIA characteristics using discrete modulation transfer function (D-MTF) and multi-resolution mutual information (MR-MI).

    Main Results:

    • ESPIA effectively achieves even sampling coverage of the spatial spectrum.
    • Simulations confirm the scheme's capability for uniform spatial spectrum sampling.
    • The ESPIA configuration demonstrates improved information acquisition compared to similar-scale arrays.
    • Enhanced capabilities in capturing detailed spatial information are achieved.

    Conclusions:

    • The proposed ESPIA scheme offers a significant improvement in spatial spectrum sampling for photonic-integrated interferometric imaging.
    • ESPIA's design with evenly distributed baselines enhances the overall performance and information gathering capacity of interferometric arrays.
    • This approach provides a promising direction for advancing high-resolution imaging technologies.