Table of Contents
Journal of Nanoparticles
Volume 2013, Article ID 936150, 9 pages
http://dx.doi.org/10.1155/2013/936150
Research Article

A Cluster-Based Method for Improving Analysis of Polydisperse Particle Size Distributions Obtained by Nanoparticle Tracking

1Biomedical Imaging Group, Department of Informatics, Dortmund University of Applied Sciences and Arts, Emil-Figge-Straße 42, 44227 Dortmund, Germany
2Institute for Lung Health (IBE R&D gGmbH) Müenster, Mendelstraße 11, 48149 Münster, Germany
3Institute for Pathology, Ruhr University Bochum, Bürkle-de-la-Camp Platz 1, 44789 Bochum, Germany

Received 15 December 2012; Accepted 11 February 2013

Academic Editor: Frank Hubenthal

Copyright © 2013 Thorsten Wagner et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. G. Teeguarden, P. M. Hinderliter, G. Orr, B. D. Thrall, and J. G. Pounds, “Particokinetics in vitro: dosimetry considerations for in vitro nanoparticle toxicity assessments,” Toxicological Sciences, vol. 95, no. 2, pp. 300–312, 2007. View at Publisher · View at Google Scholar
  2. C. Buzea, I. I. Pacheco, and K. Robbie, “Nanomaterials and nanoparticles: sources and toxicity,” Biointerphases, vol. 2, no. 4, pp. MR17–MR71, 2007. View at Publisher · View at Google Scholar
  3. Z. Yang, Z. W. Liu, R. P. Allaker et al., “A review of nanoparticle functionality and toxicity on the central nervous system,” Journal of the Royal Society Interface, vol. 7, no. 4, pp. S411–S422, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. V. Stone, B. Nowack, A. Baun et al., “Nanomaterials for environmental studies: classification, reference material issues, and strategies for physico-chemical characterisation,” Science of the Total Environment, vol. 408, no. 7, pp. 1745–1754, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. I. Montes-Burgos, D. Walczyk, P. Hole, J. Smith, I. Lynch, and K. Dawson, “Characterisation of nanoparticle size and state prior to nanotoxicological studies,” Journal of Nanoparticle Research, vol. 12, no. 1, pp. 47–53, 2010. View at Publisher · View at Google Scholar
  6. B. Carr, A. Malloy, and J. Warren, “Nanoparticle Tracking Analysis,” IPT, pp. 38–40, 2008.
  7. H. Saveyn, B. de Baets, O. Thas, P. Hole, J. Smith, and P. van der Meeren, “Accurate particle size distribution determination by nanoparticle tracking analysis based on 2-D Brownian dynamics simulation,” Journal of Colloid and Interface Science, vol. 352, no. 2, pp. 593–600, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Qian, M. P. Sheetz, and E. L. Elson, “Single particle tracking. Analysis of diffusion and flow in two-dimensional systems,” Biophysical Journal, vol. 60, no. 4, pp. 910–921, 1991. View at Publisher · View at Google Scholar
  9. X. Michalet, “Mean square displacement analysis of single-particle trajectories with localization error: Brownian motion in an isotropic medium,” Physical Review E, vol. 82, no. 4, Article ID 041914, 2010. View at Publisher · View at Google Scholar
  10. ASTM, “Standard Guide for Measurement of Particle Size Distribution of Nanomaterials in Suspension by Nanoparticle Tracking Analysis,” 2012.
  11. R. F. Domingos, M. A. Baalousha, Y. Ju-Nam et al., “Characterizing manufactured nanoparticles in the environment: multimethod determination of particle sizes,” Environmental Science and Technology, vol. 43, no. 19, pp. 7277–7284, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, Cambridge University Press, 3rd edition, 2007.
  13. R. Benitez and Z. Nenadic, “Robust unsupervised detection of action potentials with probabilistic models,” IEEE Transactions on Biomedical Engineering, vol. 55, no. 4, pp. 1344–1354, 2008. View at Publisher · View at Google Scholar
  14. X. Dai, T. Erkkilä, O. Yli-Harja, and H. Lähdesmäki, “A joint finite mixture model for clustering genes from independent Gaussian and beta distributed data,” BMC Bioinformatics, vol. 10, article 165, 2009. View at Publisher · View at Google Scholar
  15. B. S. Everitt and E. T. Bullmore, “Mixture model mapping of brain activation in functional magnetic resonance images,” Human Brain Mapping, vol. 7, no. 1, pp. 1–14, 1999. View at Publisher · View at Google Scholar
  16. S. H. Meghani, C. S. Lee, A. L. Hanlon, and D. W. Bruner, “Latent class cluster analysis to understand heterogeneity in prostate cancer treatment utilities,” BMC Medical Informatics and Decision Making, vol. 9, article 47, 2009. View at Publisher · View at Google Scholar
  17. R Development Core Team, R: A Language and Environment for Statistical Computing, vol. 1, R Foundation for Statistical Computing, Vienna, Austria, 2011.
  18. C. Fraley and A. E. Raftery, “Model-based clustering, discriminant analysis, and density estimation,” Journal of the American Statistical Association, vol. 97, no. 458, pp. 611–631, 2002. View at Publisher · View at Google Scholar
  19. C. Fraley and A. E. Raftery, MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, 2006.
  20. G. Schwarz, “Estimating the dimension of a model,” Annals of Statistics, vol. 6, no. 2, pp. 461–464, 1978. View at Publisher · View at Google Scholar
  21. A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” Journal of the Royal Statistical Society Series B, vol. 39, no. 1, pp. 1–38, 1977. View at Publisher · View at Google Scholar
  22. M. J. Saxton, “Single-particle tracking: the distribution of diffusion coefficients,” Biophysical Journal, vol. 72, no. 4, pp. 1744–1753, 1997. View at Publisher · View at Google Scholar
  23. M. Monopoli, C. Åberg, A. Salvati, and K. Dawson, “Biomolecular coronas provide the biological identity of nanosized materials,” Nature Nanotechnology, vol. 7, pp. 779–786, 2012. View at Publisher · View at Google Scholar
  24. T. Wagner, S. O. Luettmann, D. Swarat, M. Wiemann, and H. G. Lipinski, “Image analysis of free diffusing nanoparticles in vitro,” in Clinical and Biomedical Spectroscopy and Imaging II, vol. 8087 of Proceedings of SPIE, May 2011, 808726. View at Publisher · View at Google Scholar · View at Scopus
  25. A. Pitek, D. O'Connell, E. Mahon, M. Monopoli, F. Bombelli, and K. Dawson, “Transferrin coated nanoparticles: study of the bionano interface in human plasma,” PloS One, vol. 7, no. 7, Article ID e40685, 2012. View at Publisher · View at Google Scholar