Background Noise Suppression of Optical Sectioning Structured Illumination Microscopy via Fourier Domain Reconstruction

Article Optics

Deep learning based one-shot optically-sectioned structured illumination microscopy for surface measurement

Changchun Chai et al.

Summary: In this paper, a one-shot optically-sectioned method called Deep-OS-SIM is proposed to improve the efficiency of OS-SIM for surface measurement by utilizing a convolutional neural network to learn statistical invariance of optical sectioning across structured illumination images. Experimental results demonstrate that the method achieves faster image speed while maintaining accuracy.

OPTICS EXPRESS (2021)

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Article Physics, Applied

Evaluating structured-illumination patterns in optimizing optical-sectioning of HiLo microscopy

Ruheng Shi et al.

Summary: The study analyzes the impact of parameters of structured illumination (SI) patterns on optical-sectioning performance in grid-pattern (such as sinusoidal pattern and checkerboard pattern) based HiLo microscopy. It is found that lower frequency and lower duty cycle grid-based patterns introduce higher modulation depth, while higher frequency patterns result in better axial resolution and contrast in optical-sectioning images.

JOURNAL OF PHYSICS D-APPLIED PHYSICS (2021)

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Article Biochemical Research Methods