Real-time analysis and visualization for single-molecule based super-resolution microscopy

Adel Kechkar, Deepak Nair, Mike Heilemann, Daniel Choquet, Jean-Baptiste Sibarita
PLoS ONE. 2013-04-30; 8(4): e62918
DOI: 10.1371/journal.pone.0062918

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1. PLoS One. 2013 Apr 30;8(4):e62918. doi: 10.1371/journal.pone.0062918. Print 2013.

Real-time analysis and visualization for single-molecule based super-resolution

Kechkar A(1), Nair D, Heilemann M, Choquet D, Sibarita JB.

Author information:
(1)Interdisciplinary Institute for Neuroscience, University of Bordeaux,
Bordeaux, France.

Accurate multidimensional localization of isolated fluorescent emitters is a time
consuming process in single-molecule based super-resolution microscopy. We
demonstrate a functional method for real-time reconstruction with automatic
feedback control, without compromising the localization accuracy. Compatible with
high frame rates of EM-CCD cameras, it relies on a wavelet segmentation
algorithm, together with a mix of CPU/GPU implementation. A combination with
Gaussian fitting allows direct access to 3D localization. Automatic feedback
control ensures optimal molecule density throughout the acquisition process. With
this method, we significantly improve the efficiency and feasibility of
localization-based super-resolution microscopy.

DOI: 10.1371/journal.pone.0062918
PMCID: PMC3639901
PMID: 23646160 [Indexed for MEDLINE]

Auteurs Bordeaux Neurocampus