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 L.; Rebegoldi S.; Blanc-Feraud L.; Prato M.; Zanni L.; Plata A.. - 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 Clarion Congress Hotel in Prague, cze nel 2016) [10.1109/ISBI.2016.7493229].
Phase estimation in differential-interference-contrast (DIC) microscopy
Rebegoldi S.Membro del Collaboration Group
;
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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