Vesicle sizing: Number distributions by dynamic light scattering.

@article{Hallett1991VesicleSN,
  title={Vesicle sizing: Number distributions by dynamic light scattering.},
  author={F. Ross Hallett and Jane Watton and Peter H. Krygsman},
  journal={Biophysical journal},
  year={1991},
  volume={59 2},
  pages={
          357-62
        }
}
Vesicle sizing by static light scattering: a Fourier cosine transform approach.
TLDR
A Fourier cosine transform method, based on the Rayleigh-Gans-Debye thin-shell approximation, was developed to retrieve vesicle size distribution directly from the angular dependence of scattered light intensity and aprimitive theory about the first four moments of the radius distribution about the origin was obtained.
Vesicle size measurement by static light scattering: a Fourier cosine transform approach
Based on the Rayleigh-Gans-Debye thin shell approximation, a fast Fourier cosine transform method was developed to retrieve vesicle size distributions directly from the light scattering measurement.
Light scattering characterization of extruded lipid vesicles
TLDR
Analysis of extruded unilamellar lipid vesicles as thin-walled ellipsoidal shells provides simple equations which relate the mean elongation and other morphological characteristics of a vesicle population to quantities readily obtained from combined static and dynamic light scattering measurements.
Size distribution of extracellular vesicles by optical correlation techniques.
Method of separated form factors for polydisperse vesicles
Use of the Schulz or Gamma distribution in the description of particle sizes facilitates calculation of analytic polydisperse form factors using Laplace transforms, {\cal L}[f(u)]. Here, the Laplace
Dynamic light scattering (DLS)
Determination of the size distribution of lecithin liposomes: a comparative study using freeze fracture, cryoelectron microscopy and dynamic light scattering
The size distribution of liposomes is often determined using freeze fracture, cryoelectron microscopy or dynamic light scattering. However, the resulting size distributions do not directly coincide
Direct determination of the number-weighted mean radius and polydispersity from dynamic light-scattering data.
TLDR
It is found that results from fits using number distributions are angle independent and that converting intensity-weighted distributions is not always reliable, especially when the polydispersity of the sample is large.
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