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arXiv · 2209.02148

Morphological variations to a ptychographic algorithm

Fabiola Salinas·M. A. Solís-Prosser
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Abstract

Ptychography is a technique widely used in microscopy for achieving high-resolution imaging. This method relies on computational processing of images gathered from diffraction patterns produced by several partial illuminations of a sample. In this work, we numerically studied the effect of using different shapes for illuminating the aforementioned sample: convex shapes, such as circles and regular polygons, and unconnected shapes that resemble a QR code. Our results suggest that the use of unconnected shapes seems to outperform convex shapes in terms of convergence and, in some cases, accuracy.

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Fabiola Salinas, M. A. Solís-Prosser. 2022-09-05. Morphological variations to a ptychographic algorithm. https://doi.org/10.1364/ao.462173

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