Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Massively parallel approximate Bayesian computation for estimating nanoparticle diffusion coefficients, sizes and concentrations using confocal laser scanning microscopy.
RISE - Research Institutes of Sweden, Bioscience and Materials, Agrifood and Bioscience.ORCID iD: 0000-0002-5956-9934
Chalmers University of Technology, Sweden..
2018 (English)In: Journal of Microscopy, ISSN 0022-2720, E-ISSN 1365-2818Article in journal (Refereed) Epub ahead of print
Abstract [en]

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.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Concentration, Confocal laser scanning microscopy, Diffusion coefficient, Nanoparticles, Particle tracking
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33847DOI: 10.1111/jmi.12706PubMedID: 29676793OAI: oai:DiVA.org:ri-33847DiVA, id: diva2:1204625
Available from: 2018-05-08 Created: 2018-05-08 Last updated: 2018-08-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records BETA

Röding, Magnus

Search in DiVA

By author/editor
Röding, Magnus
By organisation
Agrifood and Bioscience
In the same journal
Journal of Microscopy
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 4 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.3