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

Optical sectioning structured illumination microscopy (OS-SIM) has been attracting considerable interest in fast 3D microscopy. The reconstruction of optical sectioning images in the conventional method employs the root-mean-square (RMS) algorithm in the spatial domain, which is prone to residual background noise. To overcome this problem, we propose a Fourier domain based optical sectioning image reconstruction algorithm (termed Fourier-OS-SIM), which has an improved background noise suppression capability compared to the RMS algorithm. The experimental results verified the feasibility and the effectiveness of the algorithm. The improved performance of the Fourier-OS-SIM may find more applications in biomedical or industrial fields.

Automated summary

Optical sectioning structured illumination microscopy (OS-SIM) has gained significant interest in fast 3D microscopy. The conventional method for reconstructing optical sectioning images using the root-mean-square (RMS) algorithm in the spatial domain tends to have residual background noise. To address this issue, we propose a Fourier domain based algorithm (Fourier-OS-SIM) that improves background noise suppression compared to the RMS algorithm. Experimental results confirm the feasibility and effectiveness of the algorithm, and suggest potential applications in biomedical or industrial fields.