Wang Yanhua, Jia Shu, Zhang Hao F, Kim Doory, Babcock Hazen, Zhuang Xiaowei, Ying Leslie
Department of Biomedical Engineering, Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 10003, USA.
School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Optica. 2017 Oct 20;4(10):1277-1284. doi: 10.1364/OPTICA.4.001277. Epub 2017 Oct 12.
Single-molecule localization microscopy (SMLM), such as stochastic optical reconstruction microscopy and (fluorescence) photoactivated localization microscopy, has enabled superresolution microscopy beyond the diffraction limit. However, the temporal resolution of SMLM is limited by the time needed to acquire sufficient sparse single-molecule activation events to successfully construct a superresolution image. Here, a novel fast SMLM technique is developed to achieve superresolution imaging within a much shortened duration. This technique does not require a faster switching rate or a higher activation density, which may cause signal degradation or photodamage/bleaching, but relies on computational algorithms to reconstruct a high-density superresolution image from a low-density one using the concept of blind image inpainting. Our results demonstrate that the technique reduces the acquisition time by up to two orders of magnitude compared to the conventional method while achieving the same high resolution. We anticipate our technique to enable future real-time live cell imaging with even higher resolution.
单分子定位显微镜(SMLM),如随机光学重建显微镜和(荧光)光激活定位显微镜,实现了超越衍射极限的超分辨率显微镜成像。然而,SMLM的时间分辨率受限于获取足够稀疏的单分子激活事件以成功构建超分辨率图像所需的时间。在此,开发了一种新型快速SMLM技术,以在大大缩短的时间内实现超分辨率成像。该技术不需要更快的切换速率或更高的激活密度,因为这可能会导致信号退化或光损伤/光漂白,而是依靠计算算法,利用盲图像修复的概念从低密度图像重建高密度超分辨率图像。我们的结果表明,与传统方法相比,该技术在实现相同高分辨率的同时,将采集时间减少了多达两个数量级。我们预计我们的技术将使未来的实时活细胞成像能够实现更高的分辨率。