default author photo

Steven Neale

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

76

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

OET Cell Signature: Cells Discrimination and Drug Response Evaluation with Opto-Electronic Tweezers and Machine Learning Algorithms

Number of pages: 16 Posted: 19 Apr 2022
Joanna Filippi, Davide Di Giuseppe, Paola Casti, Arianna Mencattini, Gianni Antonelli, Michele D'Orazio, Francesca Corsi, Lina Ghibelli, Christian Witte, Corrado Di Natale, Steven Neale and Eugenio Martinellli
University of Rome Tor Vergata - Department of Electronic Engineering, University of Rome Tor Vergata - Department of Electronic Engineering, University of Rome Tor Vergata - Department of Electronic Engineering, University of Rome Tor Vergata - Department of Electronic Engineering, University of Rome Tor Vergata - Department of Electronic Engineering, University of Rome Tor Vergata - Department of Electronic Engineering, University of Rome Tor Vergata - Department of Biology, University of Rome Tor Vergata - Department of Biology, University of Glasgow - James Watt School of Engineering, University of Rome Tor Vergata - Department of Electronic Engineering, affiliation not provided to SSRN and University of Rome Tor Vergata - Department of Electronic Engineering
Downloads 76 (830,555)

Abstract:

Loading...

lab-on-chip, machine learning, Opto-Electronic Tweezers, Single-cell analysis