Can Localization Microscopy Benefit From Approximation Theory?

We introduce a general and computationally efficient approach to 3-D localization microscopy. The main idea is to construct a continuous-domain representation of the PSF by expanding it in a polynomial B-spline basis. This allows us to fit the PSF to the data with sub-pixel accuracy. Since the basis functions are compactly supported, the evaluation of the PSF is computationally efficient. Furthermore, our approach can accommodate for any 3-D PSF design, and it does not require a calibration curve for the axial position. We further introduce a computationally efficient implementation of the least-squares criterion and demonstrate its potential use for fast and accurate reconstruction of super-resolution data.


Published in:
2013 Ieee 10Th International Symposium On Biomedical Imaging (Isbi), 588-591
Presented at:
IEEE 10th International Symposium on Biomedical Imaging - From Nano to Macro (ISBI)
Year:
2013
Publisher:
New York, IEEE
ISSN:
1945-7928
ISBN:
978-1-4673-6455-3
Laboratories:




 Record created 2014-01-09, last modified 2018-10-07

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