Single-pixel interior filling function approach for detecting and correcting errors in particle tracking

  title={Single-pixel interior filling function approach for detecting and correcting errors in particle tracking},
  author={S. Burov and Patrick Figliozzi and Binhua Lin and Stuart A Rice and Norbert F. Scherer and Aaron R. Dinner},
  journal={Proceedings of the National Academy of Sciences},
  pages={221 - 226}
Significance Researchers in many areas of science and engineering gather imaging data consisting of a set of pixel intensities. Quantitative analyses of such data often rely on estimating the positions of objects (e.g., single-particle tracking), and many of the algorithms used promise subpixel precision and accuracy. Here, we introduce a method that can reveal biases in such tracking algorithms and correct the associated errors. An advantage of the method is that it uses only the output of the… 

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