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Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.
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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...

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Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
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Autofocusing based on power-spectra analysis.

S Jutamulia, T Asakura, R D Bahuguna

    Applied Optics
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    Summary
    This summary is machine-generated.

    This study introduces an innovative autofocusing mechanism utilizing autocorrelation. The system can be implemented using optical ring detectors or electronic processing for versatile applications.

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    Area of Science:

    • Optics
    • Image processing
    • Computer vision

    Background:

    • Autofocusing is critical for image quality in various optical and digital systems.
    • Existing autofocusing methods have limitations in speed, accuracy, or complexity.

    Purpose of the Study:

    • To describe a novel autofocusing mechanism based on autocorrelation.
    • To present both optical and electronic implementations of the autofocusing method.

    Main Methods:

    • The core principle involves calculating the autocorrelation of an image signal.
    • Optical implementation uses ring detectors in the Fourier domain.
    • Electronic implementation employs specialized computing hardware or software.

    Main Results:

    • The autocorrelation-based method provides a robust approach to achieving focus.
    • Demonstrated feasibility through both optical and electronic system designs.

    Conclusions:

    • The described autofocusing mechanism offers a flexible and potentially efficient solution.
    • The dual implementation approach allows adaptation to diverse technological platforms.