Abstract
The 3D point-spread function (PSF) plays a fundamental role in wide-field fluorescence microscopy. An accurate PSF estimation can significantly improve the performance of deconvolution algorithms. In this work, we propose a calibration-free method to obtain the PSF directly from the image obtained. Specifically, we first parametrize the spherically aberrated PSF as a linear combination of few basis functions. The coefficients of these basis functions are then obtained iteratively by minimizing a novel criterion, which is derived from the mixed Poisson-Gaussian noise statistics. Experiments demonstrate that the proposed approach results in highly accurate PSF estimations.
| Original language | English |
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| Title of host publication | 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) |
| Publisher | IEEE |
| Pages | 501-504 |
| ISBN (Electronic) | 978-1-5386-3636-7 |
| ISBN (Print) | 978-1-5386-3637-4 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States Duration: 4 Apr 2018 → 7 Apr 2018 |
Publication series
| Name | Proceedings - International Symposium on Biomedical Imaging |
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| ISSN (Print) | 1945-7928 |
| ISSN (Electronic) | 1945-8452 |
Conference
| Conference | 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 |
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| Country/Territory | United States |
| City | Washington |
| Period | 4/04/18 → 7/04/18 |
Funding
This work was supported by grants from the Research Grants Council (RGC) of Hong Kong (AoE/M-05/12).
Research Keywords
- 3D deconvolution microscopy
- Parametric PSF estimation
- Point-spread function
- Wide-field microscopy