Zhu Min, Zhang Luhao, Jin Luhong, Chen Yunyue, Yang Haixu, Ji Baohua, Xu Yingke
Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, Zhejiang University, Hangzhou 310027, China.
Binjiang Institute of Zhejiang University, Hangzhou 310053, China.
Biophys Rep. 2023 Aug 31;9(4):177-187. doi: 10.52601/bpr.2023.230014.
DNA-based point accumulation in nanoscale topography (DNA-PAINT) is a well-established technique for single-molecule localization microscopy (SMLM), enabling resolution of up to a few nanometers. Traditionally, DNA-PAINT involves the utilization of tens of thousands of single-molecule fluorescent images to generate a single super-resolution image. This process can be time-consuming, which makes it unfeasible for many researchers. Here, we propose a simplified DNA-PAINT labeling method and a deep learning-enabled fast DNA-PAINT imaging strategy for subcellular structures, such as microtubules. By employing our method, super-resolution reconstruction can be achieved with only one-tenth of the raw data previously needed, along with the option of acquiring the widefield image. As a result, DNA-PAINT imaging is significantly accelerated, making it more accessible to a wider range of biological researchers.
基于DNA的纳米级形貌点积累技术（DNA-PAINT）是一种成熟的单分子定位显微镜技术（SMLM），能够实现高达几纳米的分辨率。传统上，DNA-PAINT需要利用数以万计的单分子荧光图像来生成单个超分辨率图像。这个过程可能很耗时，这使得许多研究人员无法实现。在这里，我们提出了一种简化的DNA-PAINT标记方法和一种基于深度学习的快速DNA-PAINT成像策略，用于亚细胞结构，如微管。通过采用我们的方法，仅需以前所需原始数据的十分之一就可以实现超分辨率重建，同时还可以获取宽场图像。因此，DNA-PAINT成像显著加速，使更广泛的生物学研究人员更容易使用。
