Paper
23 February 2006 Algorithms for extracting true phase from rotationally-diverse and phase-shifted DIC images
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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 minimize the I-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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chrysanthe Preza, Sharon V. King, and Carol J Cogswell "Algorithms for extracting true phase from rotationally-diverse and phase-shifted DIC images", Proc. SPIE 6090, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIII, 60900E (23 February 2006); https://doi.org/10.1117/12.661550
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Cited by 12 scholarly publications.
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KEYWORDS
Digital image correlation

Phase shifting

Point spread functions

Image analysis

Deconvolution

Geometrical optics

Fourier transforms

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