2023 Vol. 9, No. 4

Cover Story

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 flu-orescent images to generate a single super-resolution image. This process can be time-consuming, which makes it unfeasible for many researchers. Here, the authors propose a simplified DNA-PAINT labeling method and a deep learning-enabled fast DNA-PAINT imaging strategy for subcellu-lar structures, such as microtubules. By employing the 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.

PROTOCOL
Deep learning-enabled fast DNA-PAINT imaging in cells
Reconstitution of membrane contact by unilamellar vesicles
REVIEW
Xenopus cell-free extracts and their applications in cell biology study
RESEARCH ARTICLE
Live-cell super-resolution imaging unconventional dynamics and assemblies of nuclear pore complexes
Theoretical framework and experimental solution for the air−water interface adsorption problem in cryoEM