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      Simulated single molecule microscopy with SMeagol

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          Abstract

          Recent advances in single particle tracking (SPT) microscopy 1 make it possible to obtain tens of thousands macromolecular trajectories from within a living cell in just a few minutes. Since molecules typically change their movement properties upon interactions, these trajectories contain information about both locations and rates of intracellular reactions. This information is unfortunately obscured by physical limitations of the optical microscope and noise in detection systems, making statistical methods development for SPT analysis a very active research field. Unbiased testing and comparison of such methods are however difficult given the absence of in vivo data of intracellular dynamics where the true states of interaction are known, a.k.a. the ground truth. A common resort is to instead use simulated, synthetic, data. However, tests using such data give unrealistically optimistic results if the simplifying assumptions underlying the analysis method are satisfied in the synthetic data, a practice known as "inverse crimes". We here present the SMeagol (Simulated Single Molecule Microscopy) package, that has been developed to generate highly realistic single molecule microscopy time-lapse image series in order to avoid inverse crimes.

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          High-density mapping of single-molecule trajectories with photoactivated localization microscopy.

          We combined photoactivated localization microscopy (PALM) with live-cell single-particle tracking to create a new method termed sptPALM. We created spatially resolved maps of single-molecule motions by imaging the membrane proteins Gag and VSVG, and obtained several orders of magnitude more trajectories per cell than traditional single-particle tracking enables. By probing distinct subsets of molecules, sptPALM can provide insight into the origins of spatial and temporal heterogeneities in membranes.
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            Objective comparison of particle tracking methods

            The first community competition designed to objectively compare the performance of particle tracking algorithms provides valuable practical information for both users and developers. Supplementary information The online version of this article (doi:10.1038/nmeth.2808) contains supplementary material, which is available to authorized users.
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              Quantitative evaluation of software packages for single-molecule localization microscopy.

              The quality of super-resolution images obtained by single-molecule localization microscopy (SMLM) depends largely on the software used to detect and accurately localize point sources. In this work, we focus on the computational aspects of super-resolution microscopy and present a comprehensive evaluation of localization software packages. Our philosophy is to evaluate each package as a whole, thus maintaining the integrity of the software. We prepared synthetic data that represent three-dimensional structures modeled after biological components, taking excitation parameters, noise sources, point-spread functions and pixelation into account. We then asked developers to run their software on our data; most responded favorably, allowing us to present a broad picture of the methods available. We evaluated their results using quantitative and user-interpretable criteria: detection rate, accuracy, quality of image reconstruction, resolution, software usability and computational resources. These metrics reflect the various tradeoffs of SMLM software packages and help users to choose the software that fits their needs.
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                Author and article information

                Journal
                10.1093/bioinformatics/btw109
                1509.04031

                Biophysics
                Biophysics

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