Deep learning-enabled fast DNA-PAINT imaging in cells

• DOI: 10.52601/bpr.2023.230014
• Publication Date: 2024-02-26T07:19:45Z
• Authors: Min Zhu; Luhao Zhang; Luhong Jin; Yunyue Chen; Haixu Yang; Baohua Ji; Yingke Xu

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 few nanometers. Traditionally, DNA-PAINT involves the utilization tens thousands fluorescent images generate single super-resolution image. This process can be time-consuming, which makes it unfeasible many researchers. Here, we propose simplified labeling method and deep learning-enabled fast imaging strategy subcellular structures, such as microtubules. By employing our method, reconstruction achieved with only one-tenth raw data previously needed, along option acquiring widefield As result, significantly accelerated, making more accessible wider range biological