Abstract
A proper estimation of realistic point-spread function (PSF) in optical microscopy can significantly improve the deconvolution performance and assist the microscope calibration process. In this work, by exemplifying 3D wide-field fluorescence microscopy, we propose an approach for estimating the spherically aberrated PSF of a microscope, directly from the observed samples. The PSF, expressed as a linear combination of 4 basis functions, is obtained directly from the acquired image by minimizing a novel criterion, which is derived from the noise statistics in the microscope. We demonstrate the effectiveness of the PSF approximation model and of our estimation method using both simulations and real experiments that were carried out on quantum dots. The principle of our PSF estimation approach is sufficiently flexible to be generalized non-spherical aberrations and other microscope modalities.
| Original language | English |
|---|---|
| Pages (from-to) | 26120-26133 |
| Journal | Optics Express |
| Volume | 26 |
| Issue number | 20 |
| Online published | 21 Sept 2018 |
| DOIs | |
| Publication status | Published - 1 Oct 2018 |
| Externally published | Yes |
Funding
Research Grants Council of Hong Kong (CUHK14210617, CUHK14201317, AoE/M-05/12); National Natural Science Foundation of China (61401013).
Publisher's Copyright Statement
- © 2018 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
RGC Funding Information
- RGC-funded