Work

Upsampled PSF enables high accuracy 3D superresolution imaging with sparse sampling rate

Year: 2025

Type: article

Abstract: Single-molecule localization microscopy (SMLM) provides nanoscale imaging, but pixel integration of acquired SMLM images limited the choice of sample rate which restricts the information content conveyed within each image. We propose an up-sampled point spread function (PSF) inverse modeling method for large-pixel single molecule localization, enabling precise 3D super-resolution imaging with sparse sampling rate. Our approach could reduce data volume or expand the field of view by nearly an order of magnitude, while maintaining high localization accuracy, greatly improving the imaging throughput with limited pixels offered by the existing cameras.

Source: Photonics Research

DOI: 10.1364/prj.547778

Authors: Jianwei Chen, Wei Shi, Jianzheng Feng, Jianlin Wang, Sheng Liu, Yiming Li

Institutions: Harbin Institute of Technology, Southern University of Science and Technology, University of New Mexico

Language: English

Topic: Advanced Fluorescence Microscopy Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green