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https://github.com/bamresearch/particle_concentration_from_dls

A python implementation for determining nanoparticle number concentrations from multi-angle dynamic light scattering (DLS) measurements. Based on "Austin, J., Minelli, C., Hamilton, D. et al. Nanoparticle number concentration measurements by multi-angle dynamic light scattering. J Nanopart Res 22, 108 (2020)." https://doi.org/10.1007/s11051-020-04840-8

https://github.com/bamresearch/particle_concentration_from_dls

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    DOI references
    Found 4 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary

Keywords

analysis dynamic-light-scattering jupyter-notebook jupyterlab open-source python
Last synced: 5 months ago · JSON representation

Repository

A python implementation for determining nanoparticle number concentrations from multi-angle dynamic light scattering (DLS) measurements. Based on "Austin, J., Minelli, C., Hamilton, D. et al. Nanoparticle number concentration measurements by multi-angle dynamic light scattering. J Nanopart Res 22, 108 (2020)." https://doi.org/10.1007/s11051-020-04840-8

Basic Info
  • Host: GitHub
  • Owner: BAMresearch
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 4.4 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
analysis dynamic-light-scattering jupyter-notebook jupyterlab open-source python
Created over 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

Nanoparticle number concentration measurements by multi-angle dynamic light scattering

This Python implementation is based on:

Austin, J., Minelli, C., Hamilton, D. et al. Nanoparticle number concentration measurements by multi-angle dynamic light scattering. J Nanopart Res 22, 108 (2020). https://doi.org/10.1007/s11051-020-04840-8

Requirements

For packages that are used here and which might be missing the a clean default python installation or venv, please see the requirements file. Install the listed packages by running:

pip install -r requirements.txt

Problems & Help

If there are any errors with the code, please look for existing similar reports and possible solutions or open a new issue on the project page.

Owner

  • Name: Bundesanstalt für Materialforschung und -prüfung
  • Login: BAMresearch
  • Kind: organization
  • Email: oss@bam.de
  • Location: Berlin/Germany

German Federal scientific research institute for materials testing and research

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Dependencies

requirements.txt pypi
  • miepython *