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Chrysanthe Preza on Muck Rack

Chrysanthe Preza

Germantown
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Articles

Artificial Intelligence and Machine Learning in Optical Information Processing: introduction to the feature issue

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By Chrysanthe Preza, Michael E. Zelinski, Khan Iftekharuddin
| optica.org
Abstract This special feature issue covers the intersection of topical areas in artificial intelligence (AI)/machine learning (ML) and optics. The papers broadly span the current state-of-the-art advances in areas including image recognition, signal and image processing, machine inspection/vision and automotive as well as areas of traditional optical sensing, interferometry and imaging.
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Improved resolution in 3D structured illumination microscopy using 3D model-based restoration with positivity-constraint

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By Chrysanthe Preza
| osapublishing.org
C. Kuang, H. Zhu, J. Han, L. Yin, M. Cai, Q. Liu, X. Hao, X. Liu, Y. Sun, C. Kuang, C. Kuang, C. Kuang, X. Hao, X. Liu, and X. Liu, “3D super-resolution microscopy based on nonlinear gradient descent structured illumination,” Opt. Express 29(14), 21428–21443 (2021). [Crossref] J. Mohammed, C. T. S. Van, and C. Preza, “Evaluation of different illumination designs for tunable 3D structured illumination microscopy through model-based restoration,” Proc. SPIE 11649, 116490M (2021). V. Monga, Y. Li, and Y. C.
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Optical transfer function engineering for a tunable 3D structured illumination microscope

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By Ana Doblas, Chrysanthe Preza, Genaro Saavedra, Hasti Shabani
| osapublishing.org
C. Karras, M. Smedh, R. Förster, H. Deschout, J. Fernandez-Rodrigue, and R. Heintzmann, Opt. Commun. 436, 69 (2019). [Crossref] O. Mandula, M. Kielhorn, K. Wicker, G. Krampert, I. Kleppe, and R. Heintzmann, Opt. Express 20, 24167 (2012). [Crossref] N. Hagen, L. Gao, and T. S. Tkaczyk, Opt. Express 20, 5343 (2012). [Crossref] M. F. Langgorst, J. Schaffer, and B. Goetze, Biotechnol. J. 4, 858 (2009). [Crossref] D. Débarre, E. J. Botcherby, M. J. Booth, and T. Wilson, Opt. Express 16, 9290 (2008). [Crossref] M. G. L. Gustafsson, L.
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