Improving holographic particle characterization by modeling spherical aberration

Abstract

Holographic microscopy combined with forward modeling and inference allows colloidal particles to be characterized and tracked in three dimensions with high precision. However, current models ignore the effects of optical aberrations on hologram formation. We investigate the effects of spherical aberration on the structure of single-particle holograms and on the accuracy of particle characterization. We find that in a typical experimental setup, spherical aberration can result in systematic shifts of about 2% in the inferred refractive index and radius. We show that fitting with a model that accounts for spherical aberration decreases this aberration-dependent error by a factor of two or more, even when the level of spherical aberration in the optical train is unknown. With the new generative model, the inferred parameters are consistent across different levels of aberration, making particle characterization more robust.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 26, 2021
Source ID
10.1364/oe.424043

Entities

People

  • Brian Leahy
  • Caroline Martin
  • Vinothan N. Manoharan

Organizations

  • Harvard University
  • National Science Foundation
  • United States Department of Defense

Tags

Fields of Study

  • Physics

Readers

  • Aerosol Science/Aerosol Physics
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks