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PALM Localization and Tracking: ImageJ Software Development

D. Sage

First Swiss Photo Activated Localization Microscopy User Meeting (SPALM'10), Zürich ZH, Swiss Confederation, December 17, 2010.



The Biomedical Imaging Group at the EPFL developed an ImageJ application that provides a flexible framework for designing PALM-based super-resolution algorithms such as particle localization and particle tracking. Our particle localization algorithm is based on PSF modeling of the PALM images while taking the averaging effect of the pixels into account. We also utilize the fast Marquart-Levenberg least-square method for fitting the PSF model with the acquired data. Our particle tracking algorithm relies on a bi-partite graph model, and our cost function incorporates several measures such as the distance between particles, length of trajectories and direction. Our applications further allows for interactive rendering of the results. We will present the main algorithms of our software and discuss possible research directions and potential applications.


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