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Related Experiment Video

Updated: Jan 19, 2026

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Image-based autofocusing system for nonlinear optical microscopy with broad spectral tuning.

Grégoire Saerens, Lukas Lang, Claude Renaut

    Optics Express
    |September 11, 2019
    PubMed
    Summary

    We developed an automated autofocusing system for nonlinear microscopy and spectroscopy, enhancing image quality across various wavelengths and sample types. This system optimizes focusing for nanoparticles, nanowires, and 3D nanostructures.

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    Area of Science:

    • Optics and Photonics
    • Materials Science
    • Nanotechnology

    Background:

    • Nonlinear microscopy and spectroscopy require precise focusing for optimal image quality and data acquisition.
    • Automated focusing systems are crucial for efficient and reproducible experiments, especially across broad wavelength ranges.

    Purpose of the Study:

    • To develop and validate an image-based autofocusing system for nonlinear microscopy and spectroscopy.
    • To implement and compare multiple image scoring algorithms for robust autofocusing.
    • To integrate autofocusing with automated multi-axis alignment for comprehensive system control.

    Main Methods:

    • An adapted two-step autofocusing procedure was developed, maximizing image scores.
    • Six distinct image scoring algorithms were implemented to accommodate diverse focusing scenarios.
    • The system was tested on single nanoparticles, nanowires, and complex 3D nanostructures.
    • Automated multi-axis alignment was integrated with the autofocusing procedure.

    Main Results:

    • The autofocusing system demonstrated effective performance across a wide range of excitation wavelengths.
    • Optimal autofocusing algorithms were identified for different sample types (nanoparticles, nanowires, 3D nanostructures).
    • The combined autofocusing and alignment system proved capable of handling complex nanostructures.

    Conclusions:

    • The developed image-based autofocusing system provides a versatile and automated solution for nonlinear microscopy and spectroscopy.
    • The study offers guidance on selecting optimal autofocusing algorithms based on sample characteristics and experimental goals.
    • This technology enhances the efficiency and reliability of nanoscale imaging and analysis.