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Updated: Jan 19, 2026

Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics
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Robust autofocusing method for multi-wavelength lensless imaging.

Jian Liu, Yixuan Zhao, Cheng Guo

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    |September 13, 2019
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    Summary
    This summary is machine-generated.

    This study introduces a multi-wavelength autofocusing method for lensless imaging, significantly improving sample-to-sensor distance accuracy. This enhances high-resolution image reconstruction in lensless imaging systems.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Metrology

    Background:

    • Lensless imaging offers simple, miniaturized, and low-cost setups.
    • Accurate sample-to-sensor distance measurement is crucial for high-resolution reconstruction in lensless imaging.
    • Conventional methods face challenges in achieving high accuracy for sample-to-sensor distance determination.

    Purpose of the Study:

    • To develop a novel multi-wavelength criterion for accurate autofocusing in lensless imaging.
    • To enhance the precision of sample-to-sensor distance measurement compared to existing techniques.
    • To enable high-resolution image reconstruction in lensless imaging systems.

    Main Methods:

    • Illuminating a sample with three beams in different spectrums.
    • Recording resulting holograms using a CCD camera.
    • Utilizing a multi-wavelength criterion based on back-propagated hologram patterns and image sharpness to determine optimal sample-to-sensor distance.

    Main Results:

    • A multi-wavelength criterion was proposed and validated for autofocusing modulation.
    • Significantly higher accuracy in determining sample-to-sensor distance was achieved compared to conventional methods.
    • High-resolution images were successfully retrieved through the proposed autofocusing strategy and phase retrieval.

    Conclusions:

    • The multi-wavelength autofocusing method provides a robust and accurate solution for distance measurement in lensless imaging.
    • This technique is applicable and validated through both simulations and experiments.
    • The developed method serves as a valuable tool for multi-wavelength lensless imaging, especially under constrained experimental conditions.