Journal of Innovative Optical Health Sciences, Volume. 16, Issue 4, 2350010(2023)

Comparison of point detection and area detection for point-scanning structured illumination microscopy

Wenshuai Wu1, Jiajie Chen1、*, Meiting Wang1, Lei Wang1, Xiaomin Zheng1, Jia Li1, Junle Qu1, Bruce Zhi Gao2, and Yonghong Shao1、**
Author Affiliations
  • 1College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen 518060, Guangdong, P. R. China
  • 2Department of Bioengineering and COMSET, Clemson University, Clemson, SC 29634 USA
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    Structured illumination microscopy (SIM) is suitable for biological samples because of its relatively low-peak illumination intensity requirement and high imaging speed. The system resolution is affected by two typical detection modes: Point detection and area detection. However, a systematic analysis of the imaging performance of the different detection modes of the system has rarely been conducted. In this study, we compared laser point scanning point detection (PS-PD) and point scanning area detection (PS-AD) imaging in nonconfocal microscopy through theoretical analysis and simulated imaging. The results revealed that the imaging resolutions of PS-PD and PS-AD depend on excitation and emission point spread functions (PSFs), respectively. Especially, we combined the second harmonic generation (SHG) of point detection (P-SHG) and area detection (A-SHG) with SIM to realize a nonlinear SIM-imaging technique that improves the imaging resolution. Moreover, we analytically and experimentally compared the nonlinear SIM performance of P-SHG with that of A-SHG.

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    Wenshuai Wu, Jiajie Chen, Meiting Wang, Lei Wang, Xiaomin Zheng, Jia Li, Junle Qu, Bruce Zhi Gao, Yonghong Shao. Comparison of point detection and area detection for point-scanning structured illumination microscopy[J]. Journal of Innovative Optical Health Sciences, 2023, 16(4): 2350010

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    Paper Information

    Category: Research Articles

    Received: Mar. 12, 2023

    Accepted: Apr. 12, 2023

    Published Online: Jul. 28, 2023

    The Author Email: Chen Jiajie (cjj@szu.edu.cn), Shao Yonghong (shaoyh@szu.edu.cn)

    DOI:10.1142/S1793545823500104

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