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Journal of Biomedical Optics

Localizer: fast, accurate, open-source, and modular software package for superresolution microscopy
Author(s): Peter Dedecker; Sam Duwé; Robert K. Neely; Jin Zhang
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Paper Abstract

We present Localizer, a freely available and open source software package that implements the computational data processing inherent to several types of superresolution fluorescence imaging, such as localization (PALM/STORM/GSDIM) and fluctuation imaging (SOFI/pcSOFI). Localizer delivers high accuracy and performance and comes with a fully featured and easy-to-use graphical user interface but is also designed to be integrated in higher-level analysis environments. Due to its modular design, Localizer can be readily extended with new algorithms as they become available, while maintaining the same interface and performance. We provide front-ends for running Localizer from Igor Pro, Matlab, or as a stand-alone program. We show that Localizer performs favorably when compared with two existing superresolution packages, and to our knowledge is the only freely available implementation of SOFI/pcSOFI microscopy. By dramatically improving the analysis performance and ensuring the easy addition of current and future enhancements, Localizer strongly improves the usability of superresolution imaging in a variety of biomedical studies.

Paper Details

Date Published: 3 December 2012
PDF: 5 pages
J. Biomed. Opt. 17(12) 126008 doi: 10.1117/1.JBO.17.12.126008
Published in: Journal of Biomedical Optics Volume 17, Issue 12
Show Author Affiliations
Peter Dedecker, Katholieke Univ. Leuven (Belgium)
Sam Duwé, Katholieke Univ. Leuven (Belgium)
Robert K. Neely, Katholieke Univ. Leuven (Belgium)
Jin Zhang, Johns Hopkins Univ. (United States)


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