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  1. Home
  3. Liquid Lens For Adaptive Interferometric Particle Imaging.
  1. Home
  3. Liquid Lens For Adaptive Interferometric Particle Imaging.

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Liquid lens for adaptive interferometric particle imaging.

Alexis Abad, Saïd Idlahcen, Mohamed Talbi

    Applied Optics
    |January 31, 2024

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    This study introduces an adaptive interferometric particle imaging system using a liquid lens for real-time adjustment of imaging conditions. The system demonstrates effective particle imaging under varying conditions using programmable and real particles.

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    Area of Science:

    • Fluid dynamics
    • Optical imaging systems
    • Particle characterization

    Background:

    • Interferometric particle imaging (IPI) is a powerful technique for particle size and velocity measurement.
    • Traditional IPI systems often require manual adjustments for optimal imaging, limiting real-time adaptability.
    • Controlling imaging parameters in situ is crucial for dynamic particle analysis.

    Purpose of the Study:

    • To develop an adaptive interferometric particle imaging system capable of real-time adjustment of imaging parameters.
    • To demonstrate the system's capability using both simulated and real particle fields.
    • To validate the use of a liquid lens for dynamic defocus control in IPI.

    Main Methods:

    • An adaptive interferometric particle imaging system was designed utilizing a voltage-controlled liquid lens.
  • The system's defocus parameter was instantaneously adjusted by modulating the applied voltage.
  • The setup was validated using programmable rough particles from a digital micromirror device (DMD) and subsequently with real glass particles under nanosecond pulse illumination.

    • Main Results:

    • The liquid lens enabled instantaneous adjustment of the defocus parameter, allowing real-time modification of imaging conditions.
    • Successful adaptive imaging was demonstrated with programmable particles, showcasing the system's flexibility.
    • The system effectively imaged real glass particles, confirming its applicability in practical scenarios.

    Conclusions:

    • The developed adaptive IPI system offers real-time control over imaging parameters through liquid lens technology.
    • This advancement facilitates dynamic and efficient particle imaging in complex or changing environments.
    • The system shows significant potential for applications requiring adaptive optical measurements.