We present a gradient-based optimization method for the estimation of a specimen’s phase function from polychromatic DIC images. The method minimizes the sum of a nonlinear least-squares discrepancy measure and a smooth approximation of the total variation. A new formulation of the gradient and a recent updating rule for the choice of the step size are both exploited to reduce computational time. Numerical simulations on two computer-generated objects show significant improvements, both in efficiency and accuracy, with respect to a more standard choice of the step size.
Phase estimation in Differential-Interference-Contrast (DIC) microscopy / Bautista, Lola; Rebegoldi, Simone; Blanc Féraud, Laure; Prato, Marco; Zanni, Luca; Plata, Arturo. - ELETTRONICO. - 2016-:(2016), pp. 136-139. (Intervento presentato al convegno 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 tenutosi a Praga nel 13-16 aprile 2016) [10.1109/ISBI.2016.7493229].
Phase estimation in Differential-Interference-Contrast (DIC) microscopy
REBEGOLDI, SIMONE;PRATO, Marco;ZANNI, Luca;
2016
Abstract
We present a gradient-based optimization method for the estimation of a specimen’s phase function from polychromatic DIC images. The method minimizes the sum of a nonlinear least-squares discrepancy measure and a smooth approximation of the total variation. A new formulation of the gradient and a recent updating rule for the choice of the step size are both exploited to reduce computational time. Numerical simulations on two computer-generated objects show significant improvements, both in efficiency and accuracy, with respect to a more standard choice of the step size.
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