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Optimization Strategy for Fast Super-Resolution Imaging Parameters Based on LSM 900


YIN Wei*, LIU Shuangshuang, ZHAO Qianbing

(Core Facilities, Zhejiang University School of Medicine, Hangzhou 310058, China)
Abstract:

To optimize the imaging performance of the ZEISS fast super-resolution laser scanning confocal microscope (LSM 900 with Airyscan2), this study systematically investigated the synergistic effects of key parameters—including laser power, detector gain, pixel dwell time, average sampling times, and Airyscan imaging mode selection—on resolution, SNR (signal-to-noise ratio), and imaging speed. Through comparative experiments, imaging performance metrics under different parameter combinations were quantified, and an optimization strategy balancing high resolution, high SNR, and rapid imaging was proposed. Results demonstrate that in Airyscan SR mode, by balancing laser power (0.1%-50%), detector gain (550-850 V), pixel dwell time (0.5-4.0 μs), and number of averages (0-8), an xy-plane resolution≤120 nm can be achieved. This study provides an actionable parameter optimization framework for super-resolution imaging, and offers critical insights for biomedical super-resolution imaging research.



CSTR: 32200.14.cjcb.2025.07.0017