Point-spread function retrieval for fluorescence microscopy

Praveen Pankajakshan (1) , Laure Blanc-Féraud (1) , Zvi Kam (2) , Josiane Zerubia (1)

1 ARIANA - Inverse problems in earth monitoring
2 Department of Molecular Cell Biology [Rehovot]

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]

Praveen Pankajakshan, Laure Blanc-Féraud, Zvi Kam, Josiane Zerubia. Point-spread function retrieval for fluorescence microscopy. International Symposium on Biomedical Imaging, Jun 2009, Boston, United States. ⟨inria-00395534⟩