Li, JizhouJizhouLiXue, FengFengXueTHIERRY BLU2024-03-072024-03-072017-06-0110847529https://scholars.lib.ntu.edu.tw/handle/123456789/640485The point spread function (PSF) plays a fundamental role in fluorescence microscopy. A realistic and accurately calculated PSF model can significantly improve the performance in 3D deconvolution microscopy and also the localization accuracy in single-molecule microscopy. In this work, we propose a fast and accurate approximation of the Gibson-Lanni model, which has been shown to represent the PSF suitably under a variety of imaging conditions. We express the Kirchhoff's integral in this model as a linear combination of rescaled Bessel functions, thus providing an integral-free way for the calculation. The explicit approximation error in terms of parameters is given numerically. Experiments demonstrate that the proposed approach results in a significantly smaller computational time compared with current state-of-the-art techniques to achieve the same accuracy. This approach can also be extended to other microscopy PSF models.en[SDGs]SDG7journal article10.1364/JOSAA.34.001029290360872-s2.0-85020305205https://api.elsevier.com/content/abstract/scopus_id/85020305205