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您的检索式：作者名="Kwangsung Oh"
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| 1 | High-speed image reconstruction for optically sectioned,super-resolution structured illumination microscopy显示文摘Super-resolution structured illumination microscopy(SR-SIM)is an outstanding method for visualizing the subcellular dynamics in living cells.To date,by using elaborately designed systems and algorithms,SR-SIM can achieve rapid,optically sectioned,SR observation with hundreds to thousands of time points.However,real-time observation is still out of reach for most SIM setups as conventional algorithms for image reconstruction involve a heavy computing burden.To address this limitation,an accelerated reconstruction algorithm was developed by implementing a simplified workflow for SR-SIM,termed joint space and frequency reconstruction.This algorithm results in an 80-fold improvement in reconstruction speed relative to the widely used Wiener-SIM.Critically,the increased processing speed does not come at the expense of spatial resolution or sectioning capability,as demonstrated by live imaging of microtubule dynamics and mitochondrial tubulation. | Zhaojun Wang Tianyu Zhao Huiwen Hao Yanan Cai Kun Feng Xue Yun Yansheng Liang Shaowei Wang Yujie Sun Piero RBianco Kwangsung Oh Ming Lei | 2022 | Advanced Photonics2022，4，2： | 9 |
| 2 | Rapid,artifact-reduced,image reconstruction for super-resolution structured illumination microscopy显示文摘Super-resolution structured ilumination microscopy(SR-SIM)is finding increasing application in biomedical research due to its superior ability to visualize subcellular dynamics in living cells.However,during image reconstruction artifacts can be introduced and when coupled with time-consuming postprocessing procedures,limits this technique from becoming a routine imaging tool for biologists.To address these issues,an accelerated,artifact-reduced reconstruction algorithm termed joint space frequency reconstruction-based artifact reduction algorithm(JSFR-AR-SIM)was developed by integrating a high-speed reconstruc tion framework with a high-fidelity optimization approach designed to suppress the sidelobe artifact.Consequently,JSFR-AR-SIM produces high-quality,super-resolution images with minimal artifacts,and the reconstruction speed is increased.We anticipate this algorithm to facilitate SR-SIM becoming a routine tool in biomedical laboratories. | Zhaojun Wang Tianyu Zhao Yanan Cai Jingxiang Zhang Huiwen Hao Yansheng Liang Shaowei Wang Yujie Sun Tongsheng Chen Piero R.Bianco Kwangsung Oh Ming Lei | 2023 | The Innovation2023，4，3： | 0 |
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