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    Area of Science:

    • Optical microscopy
    • Biophotonics
    • Instrumentation

    Background:

    • Accurate focusing is critical for high-resolution microscopy.
    • Existing autofocus systems face limitations in speed and precision.
    • Differential detection methods offer potential for enhanced autofocus performance.

    Purpose of the Study:

    • To develop a high-speed, ultra-sensitive autofocus system for microscopy.
    • To implement an electrically tunable lens (ETL) for differential detection in autofocus.
    • To improve signal-to-noise ratio by minimizing optical interference.

    Main Methods:

    • Utilized an electrically tunable lens (ETL) for dynamic focal length adjustment.
    • Implemented differential detection at speeds below 300 Hz.
    • Employed pupil segmentation to prevent interference between outgoing and incoming beams.
    • Achieved focus drift accuracy better than 1/22 focal depth (~20 nm with a 100x objective).

    Main Results:

    • Demonstrated selective locking onto desired focal layers.
    • Enabled high-speed differential operations near the focal plane.
    • Significantly improved signal-to-noise ratio through pupil segmentation.
    • Attained sub-20 nm focus drift accuracy, showcasing ultra-sensitivity.

    Conclusions:

    • The proposed quasi-confocal microscopy autofocus system offers a novel and effective solution.
    • The integration of ETL and pupil segmentation enhances autofocus performance.
    • This system provides a new implementation pathway for advanced microscopy techniques.