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Proceedings Paper

Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
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Paper Abstract

We present the implementation and evaluation of a penalized alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitude and phase) from images captured with Differential Interference Contrast (DIC) microscopy. The magnitude of the transmittance function is constrained to be less than 1. The penalty is on the roughness of the complex transmittance function. Without the penalty, we show via simulation that the difference between the true and estimated transmittance function takes values in the null space of the DIC point-spread function, thereby characterizing the ill-posed nature of this inverse problem. The penalty effectively attenuates larger spatial frequencies that are in this null space. The algorithm is implemented on yeast cell images after proper normalization of the measured data. Preliminary results are promising.

Paper Details

Date Published: 27 January 2010
PDF: 11 pages
Proc. SPIE 7533, Computational Imaging VIII, 75330E (27 January 2010); doi: 10.1117/12.839020
Show Author Affiliations
Chrysanthe Preza, The Univ. of Memphis (United States)
Joseph A. O'Sullivan, Washington Univ. in St. Louis (United States)

Published in SPIE Proceedings Vol. 7533:
Computational Imaging VIII
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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