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Related Concept Videos

IR Spectrometers01:25

IR Spectrometers

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

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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).
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Spectrophotometry: Introduction01:16

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Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
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Atomic Emission Spectroscopy: Instrumentation01:22

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The instrumentation of atomic emission spectrometry (AES) involves various components, including atomization devices that convert samples into gas-phase atoms and ions. There are two main types of atomization devices: continuous and discrete atomizers.  Continuous atomizers, like plasmas and flames, introduce samples in a constant stream, while discrete atomizers inject individual samples using syringes or autosamplers. The most common discrete atomizer is the electrothermal atomizer.
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UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
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DD-Net: spectral imaging from a monochromatic dispersed and diffused snapshot.

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    This study introduces a novel snapshot spectral imaging technique using a single camera and a 2D diffuser. Deep learning algorithms reconstruct spectral data, outperforming previous methods for spectral cube reconstruction.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Machine Learning Applications

    Background:

    • Traditional spectral imaging often requires complex setups or multiple sensors.
    • Existing snapshot spectral imaging methods have limitations in spatial and spectral encoding.
    • Deep learning (DL) and compressed sensing (CS) have shown promise in spectral data reconstruction.

    Purpose of the Study:

    • To develop an advanced snapshot spectral imaging method using a single monochromatic camera.
    • To enhance spatial and spectral encoding capabilities using a two-dimensional (2D) binary-encoded phase diffuser.
    • To create tailored deep learning algorithms for reconstructing spectral information.

    Main Methods:

    • Utilizing a single monochromatic camera with a 2D binary-encoded phase diffuser at the pupil.
    • Developing novel deep learning algorithms (DD-Nets) for reconstructing dispersed and diffused (DD) monochromatic snapshots.
    • Comparing system performance with 1D and 2D diffusers, and with DL-based and CS-based reconstruction algorithms.

    Main Results:

    • Achieved high-quality spectral cube reconstructions in both simulations and laboratory experiments.
    • Demonstrated superior performance of the 2D diffuser configuration compared to 1D diffuser setups.
    • Showcased the effectiveness of DD-Nets in recovering spatial and spectral information.

    Conclusions:

    • The proposed snapshot spectral imaging method with a 2D diffuser and DL reconstruction offers a significant advancement.
    • This approach provides a more efficient and effective solution for spectral imaging compared to prior techniques.
    • The developed DD-Nets are specifically optimized for the unique optical response of the diffuser-based system.