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  • Röding, Magnus,1984RISE,Jordbruk och livsmedel (author)

Massively parallel approximate Bayesian computation for estimating nanoparticle diffusion coefficients, sizes and concentrations using confocal laser scanning microscopy

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • 2018-04-20
  • Wiley,2018

Numbers

  • LIBRIS-ID:oai:research.chalmers.se:de0f9149-6fb9-4137-bf82-8ab39b7f89d7
  • https://research.chalmers.se/publication/502830URI
  • https://research.chalmers.se/publication/505680URI
  • https://doi.org/10.1111/jmi.12706DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-33847URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • We implement a massively parallel population Monte Carlo approximate Bayesian computation (PMC‐ABC) method for estimating diffusion coefficients, sizes and concentrations of diffusing nanoparticles in liquid suspension using confocal laser scanning microscopy and particle tracking. The method is based on the joint probability distribution of diffusion coefficients and the time spent by a particle inside a detection region where particles are tracked. We present freely available central processing unit (CPU) and graphics processing unit (GPU) versions of the analysis software, and we apply the method to characterize mono‐ and bidisperse samples of fluorescent polystyrene beads.

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  • Billeter, Markus,1984Chalmers tekniska högskola,Chalmers University of Technology,Chalmers University of Technology, Sweden(Swepub:cth)billeter (author)
  • RISEJordbruk och livsmedel (creator_code:org_t)

Related titles

  • In:Journal of Microscopy: Wiley271:2, s. 174-1821365-28180022-2720

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