Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry.

ABSTRACT: Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available. In the area of measurement technology, instruments based on the photonic time stretch have established record real-time measurement throughput in spectroscopy, optical coherence tomography, and imaging flow cytometry. These extreme-throughput instruments generate approximately 1 Tbit/s of continuous measurement data and have led to the discovery of rare phenomena in nonlinear and complex systems as well as new types of biomedical instruments. Owing to the abundance of data they generate, time-stretch instruments are a natural fit to deep learning classification. Previously we had shown that

SUBMITTER: Li Y 

PROVIDER: S-EPMC6668572 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature