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

Scanning Electron Microscopy

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...

You might also read

Related Articles

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

Sort by

Same author

Preprint: Global, and local optimization beamforming for broadband sources.

The Journal of the Acoustical Society of America·2024

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 16, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

B-CLEAN-SC: CLEAN-SC for broadband sources.

Armin Goudarzi¹

¹German Aerospace Center (DLR), 37073 Göttingen, Germanyarmin.goudarzi@dlr.de.

JASA Express Letters

|September 15, 2023

Summary

This study introduces B-CLEAN-SC, a new method for analyzing broadband radio sources. It improves source reconstruction and noise suppression without increasing computational load.

Area of Science:

Radio astronomy
Signal processing
Interferometry

Background:

CLEAN-SC is a standard algorithm for radio source reconstruction.
Standard CLEAN-SC processes each frequency channel independently.
Broadband sources present challenges for traditional single-channel processing.

Purpose of the Study:

To develop an improved CLEAN-SC algorithm for broadband sources.
To enhance source reconstruction accuracy across a wider frequency range.
To reduce noise in astronomical imaging of broadband sources.

Main Methods:

B-CLEAN-SC processes data in frequency intervals, not individual channels.
It uses an over-frequency-averaged maximum for deconvolution iteration.
The method was validated using synthetic data and real-world radio astronomy observations.

More Related Videos

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Published on: August 27, 2019

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

Related Experiment Videos

Last Updated: Jul 16, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Published on: August 27, 2019

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

Main Results:

B-CLEAN-SC improves source reconstruction at both low and high frequencies.
The new method effectively suppresses noise in broadband imaging.
It demonstrates comparable or improved performance over standard CLEAN-SC.

Conclusions:

B-CLEAN-SC offers a significant advancement for analyzing broadband radio sources.
The algorithm enhances imaging fidelity without increasing computational cost.
This method provides a more robust tool for radio interferometry data analysis.