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Updated: Jun 10, 2025

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
Published on: June 28, 2017
I Tsilikas1,2, A Tsirigotis1, G Sarantoglou1
1Department of Information and Communication Systems Engineering, University of the Aegean, Palama 2, 83100, Samos, Greece.
This study merges event-based cameras with photonic neuromorphic processing for high-speed, label-free imaging cytometry. The bio-inspired system enhances classification accuracy and significantly reduces computational load for machine learning.
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