Wavelet analysis for single molecule localization microscopy

I. Izeddin, J. Boulanger, V. Racine, C.G. Specht, A. Kechkar, D. Nair, A. Triller, D. Choquet, M. Dahan, J.B. Sibarita
Opt. Express. 2012-01-17; 20(3): 2081
DOI: 10.1364/OE.20.002081

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1. Opt Express. 2012 Jan 30;20(3):2081-95. doi: 10.1364/OE.20.002081.

Wavelet analysis for single molecule localization microscopy.

Izeddin I(1), Boulanger J, Racine V, Specht CG, Kechkar A, Nair D, Triller A,
Choquet D, Dahan M, Sibarita JB.

Author information:
(1)Laboratoire Kastler Brossel, CNRS UMR 8552, Département de Physique et
Institut de Biologie de l’Ecole Normale Supérieure, Université Pierre et Marie
Curie-Paris 6, 46 rue d’Ulm 75005 Paris, France.

Localization of single molecules in microscopy images is a key step in
quantitative single particle data analysis. Among them, single molecule based
super-resolution optical microscopy techniques require high localization accuracy
as well as computation of large data sets in the order of 10(5) single molecule
detections to reconstruct a single image. We hereby present an algorithm based on
image wavelet segmentation and single particle centroid determination, and
compare its performance with the commonly used gaussian fitting of the point
spread function. We performed realistic simulations at different signal-to-noise
ratios and particle densities and show that the calculation time using the
wavelet approach can be more than one order of magnitude faster than that of
gaussian fitting without a significant degradation of the localization accuracy,
from 1 nm to 4 nm in our range of study. We propose a simulation-based estimate
of the resolution of an experimental single molecule acquisition.

DOI: 10.1364/OE.20.002081
PMID: 22330449 [Indexed for MEDLINE]

Auteurs Bordeaux Neurocampus