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Proceedings of the National Academy of Sciences· 2026Q1

Tailored speckle illumination microscopy with enhanced sectioning and image quality

SeungYun Han, KyeoReh Lee, Young Wan Kim, Chuan Li et al.

Short summary

Researchers developed tailored 3D speckle intensity statistics for dynamic illumination microscopy, enhancing optical sectioning by 30% and minimizing reconstruction noise with in-focus binary speckles.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Developed tailored 3D speckle intensity statistics for dynamic speckle illumination microscopy.
  • Enhanced optical sectioning through axially varying speckle contrast.
  • Minimized image reconstruction noise using in-focus speckles with binary intensities.
  • Demonstrated improved image quality in mouse brain vascular imaging compared to structured illumination.
  • Showcased tolerance to sample-induced aberration and scattering.

AI-generated from the title and abstract; the full text is not read.

Abstract

Optical speckle patterns have been widely used for illumination in computational imaging, optical sectioning microscopy, and superresolution imaging. However, commonly used speckles satisfy Rayleigh statistics, which are not ideal for diverse imaging applications. Here we tailor three-dimensional speckle intensity statistics for dynamic speckle illumination microscopy based on linear fluorescence. Optical sectioning is enhanced by axially varying speckle contrast, and image reconstruction noise is minimized with in-focus speckles of binary intensities. The customized speckle statistics are shown to tolerate sample-induced aberration and scattering. We apply tailored speckle illumination to mouse brain vascular imaging and demonstrate much improved image quality than optical-sectioning structured illumination. These results establish customization of speckle intensity statistics as a promising strategy for robust, high-throughput fluorescence imaging in thick, scattering biological specimens.

The authors' abstract, as published at the source. Proceedings of the National Academy of Sciences, 2026 · DOI ↗

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BiophysicsBiochemistry, Genetics and Molecular Biology