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Inelastic hyperspectral Scheimpflug lidar for microalgae classification and quantification.

Xiang Chen, Yiming Jiang, Quankai Yao

    Applied Optics
    |June 18, 2021
    PubMed
    Summary
    This summary is machine-generated.

    A new hyperspectral lidar system accurately classifies and quantifies microalgae in aquatic environments. This technology shows promise for monitoring algal blooms and providing early warnings.

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    Area of Science:

    • Optics and Photonics
    • Environmental Science
    • Biotechnology

    Background:

    • Accurate microalgae classification and quantification are crucial for aquatic ecosystem monitoring.
    • Existing methods face challenges in aquatic environments due to optical complexities.
    • Developing robust in-situ monitoring tools is essential for managing algal blooms.

    Purpose of the Study:

    • To develop and validate an inelastic hyperspectral Scheimpflug lidar system for microalgae analysis.
    • To adapt the lidar system for effective use in aquatic environments.
    • To demonstrate the system's capability for classifying and quantifying microalgae species.

    Main Methods:

    • Development of an inelastic hyperspectral Scheimpflug lidar system.
    • Implementation of refraction correction for air-glass-water interfaces.
    • Application of Principal Component Analysis (PCA) for fluorescence spectrum extraction.
    • Classification of seven microalgae species from diverse phyla.
    • Verification of linear relationship between cell density and fluorescence intensity for *Phaeocystis globosa*.

    Main Results:

    • Successful classification of seven microalgae species using hyperspectral fluorescence.
    • Demonstrated linear correlation between *Phaeocystis globosa* cell density and fluorescence intensity within a specific range (10^4-10^6 cells/mL).
    • The system's suitability for aquatic environments was confirmed through refraction correction.
    • The developed lidar system can effectively identify and quantify microalgae.

    Conclusions:

    • The inelastic hyperspectral Scheimpflug lidar system provides a viable method for microalgae classification and quantification.
    • The system has significant potential for real-time microalgae monitoring in field conditions.
    • This technology can contribute to early warning systems for harmful algal blooms and red tides.