For each file YYY.m, type "doc YYY" from the Matlab command prompt for documentation, literature references, and usage guidelines.
Estimates the diffusion coefficient (D) and localization noise (σ2 or "Sigma2") from single-particle tracking data. It implements the algorithms for the maximum likelihood estimator (MLE) and the optimal least-square fit (OLSF). See the documentation for details and references.
Virtual window center-of-mass position estimator for unbiased single-particle localization from noisy fluorescence images.
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- This software was developed at the National Institute of Standards and Technology by employees of the Federal Government in the course of their official duties. Pursuant to title 17 Section 105 of the United States Code this software is not subject to copyright protection and is in the public domain. These are experimental systems. NIST assumes no responsibility whatsoever for its use by other parties, and makes no guarantees, expressed or implied, about its quality, reliability, or any other characteristic. We would appreciate acknowledgement if the software is used.