qpsphere documentation

Qpsphere is a Python3 library for analyzing spherical objects in quantitative phase imaging. This includes the extraction of average refractive index and object radius, for which several methods are implemented. This is the documentation of qpsphere version 0.5.9.post2.

Contents:

• Introduction
  • The decoupling problem
  • Why qpsphere?
  • Citing qpsphere
• Getting started
  • Installing qpsphere
  • User API
    • Basic usage
    • Choosing method and model
• Examples
  • Refractive index and radius determination
    • OPD edge-detection approach with a single cell
    • Comparison of light-scattering models
    • OPD projection image fit applied to an OPD simulation
    • Rytov-SC image fit applied to a Mie simulation
  • Other examples
• Code reference
  • analyze (Generic fitting wrapper)
  • cnvnc (Convenience methods)
  • edgefit (Contour-based fitting)
  • imagefit (2D phase image fitting)
    • imagefit.alg (Algorithms)
    • imagefit.interp (Image interpolation logic)
  • models (Scattering models)
  • util (Helper methods)
• Bilbliography

Indices and tables

• Index

• Module Index

• Search Page