Enhancing obSTORM imaging through cubic spline PSF modeling

Donghoon Koo; Minchol Lee; Youngseop Lee; Jeongmin Kim

doi:10.1117/12.3002272

12 March 2024 Enhancing obSTORM imaging through cubic spline PSF modeling

Donghoon Koo, Minchol Lee, Youngseop Lee, Jeongmin Kim

Proceedings Volume 12849, Single Molecule Spectroscopy and Superresolution Imaging XVII; 1284907 (2024) https://doi.org/10.1117/12.3002272
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Oblique plane microscopy-based single molecule localization microscopy (obSTORM) shows promise for superresolution imaging in thick biological samples. However, the Gaussian point spread function (PSF) model used in previous studies limits imaging resolution and axial localization range in obSTORM due to poor fitting with actual PSF shapes. To overcome these limitations, we employed cubic splines to construct a more precise PSF model. This refined model enhances three-dimensional (3D) localization precision, improving obSTORM imaging of mouse retina tissues. It increases imaging resolution by approximately 1.2 times, enables seamless stitching of single molecules across optical sections, and doubles the sectional interval in volumetric obSTORM imaging by extending the usable section thickness. The cubic spline PSF model offers a promising approach for achieving faster and more accurate volumetric obSTORM imaging of biological specimens.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Donghoon Koo, Minchol Lee, Youngseop Lee, and Jeongmin Kim "Enhancing obSTORM imaging through cubic spline PSF modeling", Proc. SPIE 12849, Single Molecule Spectroscopy and Superresolution Imaging XVII, 1284907 (12 March 2024); https://doi.org/10.1117/12.3002272

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