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Deciphering impedance cytometry signals with neural networks.
Caselli, Federica; Reale, Riccardo; De Ninno, Adele; Spencer, Daniel; Morgan, Hywel; Bisegna, Paolo.
Affiliation
  • Caselli F; Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy. caselli@ing.uniroma2.it.
  • Reale R; Center for Life Nano Science@Sapienza, Italian Institute of Technology (IIT), Rome, Italy.
  • De Ninno A; Italian National Research Council - Institute for Photonics and Nanotechnologies (CNR - IFN), Rome, Italy.
  • Spencer D; School of Electronics and Computing Science, and, Institute for Life Sciences, University of Southampton, Highfield, Southampton, UK.
  • Morgan H; School of Electronics and Computing Science, and, Institute for Life Sciences, University of Southampton, Highfield, Southampton, UK.
  • Bisegna P; Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy. caselli@ing.uniroma2.it.
Lab Chip ; 22(9): 1714-1722, 2022 05 03.
Article in En | MEDLINE | ID: mdl-35353108
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Microfluidics Language: En Journal: Lab Chip Journal subject: BIOTECNOLOGIA / QUIMICA Year: 2022 Document type: Article Affiliation country: Italy
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Microfluidics Language: En Journal: Lab Chip Journal subject: BIOTECNOLOGIA / QUIMICA Year: 2022 Document type: Article Affiliation country: Italy