SIM reconstruction parameters estimation with particle swarm optimization

Hongcong Zheng; Muyang Hao; Zeqin Hu; Chaoyang Ji; Yimei Huang

doi:10.1117/12.3036267

22 November 2024 SIM reconstruction parameters estimation with particle swarm optimization

Hongcong Zheng, Muyang Hao, Zeqin Hu, Chaoyang Ji, Yimei Huang

Proceedings Volume 13238, Advanced Optical Imaging Technologies VII; 132380Q (2024) https://doi.org/10.1117/12.3036267
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Conference Poster

Abstract

Structured illumination microscopy (SIM) is one of the mainstream real-time super imaging techniques due to its fast temporal resolution, fluorescent probe compatibility, and low phototoxicity. However, in real-time imaging, parameter estimation and image reconstruction take a long time, making it impossible to observe image details in real time. To improve the imaging speed of the SIM system without losing spatial resolution, we introduced the Particle Swarm Optimization (PSO) method to estimate the illumination light parameters. By constructing a function with the same form as the cosine light and using the normalized cross-correlation (NCC) as the objective function, we initialize the parameter range and apply the PSO algorithm to perform parameter fitting within the specified range, comparing with the original image. Experimental results show that we can increase the reconstruction speed by approximately 2.5 times without affecting the reconstruction quality. The PSO algorithm achieves a good balance between temporal and spatial resolution in imaging.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongcong Zheng, Muyang Hao, Zeqin Hu, Chaoyang Ji, and Yimei Huang "SIM reconstruction parameters estimation with particle swarm optimization", Proc. SPIE 13238, Advanced Optical Imaging Technologies VII, 132380Q (22 November 2024); https://doi.org/10.1117/12.3036267

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