工作流程
计算机视觉
光学
显微镜
分辨率(逻辑)
计算机科学
图像处理
人工智能
图像(数学)
迭代重建
三维重建
算法
物理
数据库
作者
Zhaojun Wang,Tianyu Zhao,Huiwen Hao,Yanan Cai,Kun Feng,Xue Yun,Yansheng Liang,Shaowei Wang,Yujie Sun,Piero R. Bianco,Kwangsung Oh,Ming Lei
出处
期刊:Advanced photonics
[SPIE - International Society for Optical Engineering]
日期:2022-03-23
卷期号:4 (02)
被引量:91
标识
DOI:10.1117/1.ap.4.2.026003
摘要
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.
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