Machine learning-based diffractive imaging with subwavelength resolution

Abantika Ghosh*, Diane J. Roth, Luke H. Nicholls, William P. Wardley, Anatoly Zayats, Viktor A. Podolskiy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

1 Citation (Scopus)


We report detection and characterization of wavelength-scale objects with subwavelength resolution by combining diffractive imaging and machine learning. The technique clarifies the information channels in the diffraction imaging and provides insight into machine learning processes.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationQELS_Fundamental Science, CLEO_QELS 2020
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
Publication statusPublished - 2020
EventCLEO: QELS_Fundamental Science, CLEO_QELS 2020 - Washington, United States
Duration: 10 May 202015 May 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F182-CLEO-QELS 2020


ConferenceCLEO: QELS_Fundamental Science, CLEO_QELS 2020
Country/TerritoryUnited States


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