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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
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Related Experiment Video

Updated: Dec 25, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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High dynamic range spatial mode decomposition.

A W Jones, M Wang, C M Mow-Lowry

    Optics Express
    |April 1, 2020
    PubMed
    Summary

    Direct mode analysis sensors (MODAN) offer real-time optical mode monitoring. This study enhances MODAN dynamic range using photo-diode asymmetry, improving precision metrology applications.

    Area of Science:

    • Optical physics
    • Metrology
    • Sensor technology

    Background:

    • Accurate readout of optical spatial modes is crucial for precision metrology.
    • Mode sensors prevent mismatches that degrade noise mitigation strategies.
    • Direct mode analysis sensors (MODAN) enable real-time monitoring of higher-order modes.

    Purpose of the Study:

    • To demonstrate MODAN with photo-diode readout to overcome CCD limitations.
    • To improve the dynamic range of optical mode sensors.
    • To develop a methodology for analyzing sensor response asymmetries.

    Main Methods:

    • Demonstrated MODAN utilizing a photo-diode readout system.
    • Investigated sensor response asymmetries to break alignment degeneracies.
    • Performed tolerance analysis for sensor design and application.

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    Main Results:

    • Successfully implemented MODAN with photo-diode readout, mitigating CCD dynamic range issues.
    • Achieved enhanced dynamic range by exploiting sensor response asymmetries.
    • Developed a robust methodology applicable to various spatial modes.

    Conclusions:

    • MODAN with photo-diode readout is a viable technology for precise optical mode sensing.
    • Sensor response asymmetry is a key factor in improving dynamic range.
    • The presented methodology offers a pathway for advanced optical metrology sensors.