Work

Strategies of T-Cells Identification in AI-Powered Quantitative Phase Imaging Flow Cytometry

Year: 2024

Type: conference-paper

Source: IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)

DOI: 10.1109/rtsi61910.2024.10761908

Authors: Daniele Pirone, Beatrice Cavina, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo

Institutions: Institute of Applied Science and Intelligent Systems, National Research Council, University of Bologna

Language: English

Topic: Digital Holography and Microscopy

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404741821

FWCI:

Cites: 26

Cited by:

Related to: 10