Tailored Speckle Illumination Microscopy with Enhanced Sectioning and Image Quality

TL;DR

This paper presents a method to customize speckle illumination patterns for microscopy, improving image quality and robustness in biological imaging by tailoring speckle statistics.

Contribution

It introduces tailored 3D speckle intensity statistics for enhanced optical sectioning and noise reduction in fluorescence microscopy.

Findings

Enhanced optical sectioning via axially varying speckle contrast.

Reduced reconstruction noise with binary in-focus speckles.

Improved vascular imaging in mouse brain compared to structured illumination.

Abstract

Optical speckle patterns have been widely used for illumination in computational imaging, optical sectioning microscopy, and super-resolution 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.