Point-spread function retrieval for fluorescence microscopy
Résumé
In this paper we propose a method for retrieving the Point-Spread Function (PSF) of an imaging system given the observed images of fluoroscentmicrospheres. Theoretically calculated PSFs often lack the experimental or microscope specific signatureswhile empirically obtained data are either over sized or (and) too noisy. The effect of noise and the influence of the microsphere size can be mitigated from the experimental data by using a Maximum Likelihood Expectation Maximization (MLEM) algorithm. The true experimental parameters can then be estimated by fitting the result to amodel based on the scalar diffraction theory. The algorithm was tested on some simulated data and the results obtained validate the usefulness of the approach for retrieving the PSF from measured data.
Domaines
Traitement des images [eess.IV]
Origine : Fichiers produits par l'(les) auteur(s)
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