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Reconstruction algorithm using 2N+1 raw images for structured illumination microscopy

Xiang Fang, Kai Wen, Sha An, Juanjuan Zheng, Jianlang Li, Zeev Zalevsky, and Peng Gao

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Abstract

This paper presents a structured illumination microscopy (SIM) reconstruction algorithm that allows the reconstruction of super-resolved images with 2N $+$ 1 raw intensity images, with $N$ being the number of structured illumination directions used. The intensity images are recorded after using a 2D grating for the projection fringe and a spatial light modulator to select two orthogonal fringe orientations and perform phase shifting. Super-resolution images can be reconstructed from the five intensity images, enhancing the imaging speed and reducing the photobleaching by 17%, compared to conventional two-direction and three-step phase-shifting SIM. We believe the proposed technique will be further developed and widely applied in many fields.

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Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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