Algorithms for extracting true phase from rotationally-diverse and phase-shifted DIC images
Abstract
In this paper, we report on the status of our current algorithms and extensions for improved algorithms for extracting phase from images acquired with differential-interference-contrast (DIC) microscopy. Our algorithms are based on two different approaches for the computation of a specimen's phase function or optical path length (OPL) distribution from DIC images. The first approach uses an iterative phase-estimation method that minimizes the 1-divergence discrepancy measure using the conjugate-gradient technique to estimate the OPL from multiple DIC images acquired at different specimen rotations. The method is based on the assumption that the specimen does not absorb light. The second approach is a non-iterative method that is based on a geometric-optics model and the phase-shifting technique that allows separation of the amplitude and phase gradient information from DIC images thereby allowing computation of the desired phase from its gradient. We show results from both methods and discuss the tradeoff between complexity (with respect to data-acquisitiona and computation) and accuracy. Our long term goal is to develop a new and improved method based on a combination of our two approaches.
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Recommended Citation
Preza, C., King, S., & Cogswell, C. (2006). Algorithms for extracting true phase from rotationally-diverse and phase-shifted DIC images. Proceedings of SPIE - The International Society for Optical Engineering https://doi.org/10.1117/12.661550
