Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation
A collection of tools to analyse biophysical data. Written mostly in R and Python.
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-…
This repository contains Python code and a Jupyter Notebook running the original CONTIN program by S. Provencher on every DLS measurement (dynamic light scattering, aka. photon correlation spectroscopy, PCS) read from *.ASC files.
R shiny app to analyse single-angle dynamic light scattering data
Dynamic Light Scattering modeling and analysis package using cumulants and biexponential fitting aglorithms.
Depolarized Dynamic Light Scattering data analysis in python. Used to find aspect ratio of non-spherical nanoparticles using oblate, prolate, and cylinder methods.
Single-shot Temporal Speckle Correlation Imaging Using Rolling Shutter Image Sensors
Add a description, image, and links to the dynamic-light-scattering topic page so that developers can more easily learn about it.
To associate your repository with the dynamic-light-scattering topic, visit your repo's landing page and select "manage topics."