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2021-210-HOLOGRAPHIC IMAGE RECONSTRUCTION WITH PHASE RECOVERY AND AUTOFOCUSING USING RECURRENT NEURAL NETWORKS

SUMMARY: UCLA researchers in the Department of Electrical & Computer Engineering have developed an innovative recurrent neural network algorithm that improves image quality and increases the speed of holographic image reconstruction. BACKGROUND: Tissue biopsies are a commonly used tool for disease diagnosis. Pathologists have been transitioning...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan

Keywords(s): Algorithm, Artificial Intelligence, Biopsy, Digital Holography, Digital Photography, Holography, Imaging, Microscopy, Microscopy And Imaging, Optics, Tissue (Biology)

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Bioinformatics, Software & Algorithms > Programs