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Tracking-based rolling angles recovery method for holographic tomography of flowing cells

Daniele Pirone, Pasquale Memmolo, Francesco Merola, Lisa Miccio, Martina Mugnano, Amedeo Capozzoli, Claudio Curcio, Angelo Liseno, Pietro Ferraro
doi: https://doi.org/10.1101/2021.06.01.446558
Daniele Pirone
aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
bDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
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  • For correspondence: daniele.pirone@isasi.cnr.it
Pasquale Memmolo
aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
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Francesco Merola
aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
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Lisa Miccio
aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
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Martina Mugnano
aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
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Amedeo Capozzoli
bDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
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Claudio Curcio
bDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
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Angelo Liseno
bDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
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Pietro Ferraro
aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
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Article Information

doi 
https://doi.org/10.1101/2021.06.01.446558
History 
  • June 1, 2021.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Daniele Pirone*,a,b,
  2. Pasquale Memmoloa,
  3. Francesco Merolaa,
  4. Lisa Miccioa,
  5. Martina Mugnanoa,
  6. Amedeo Capozzolib,
  7. Claudio Curciob,
  8. Angelo Lisenob and
  9. Pietro Ferraroa
  1. aInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR) of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy
  2. bDepartment of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
  1. ↵*daniele.pirone{at}isasi.cnr.it
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Posted June 01, 2021.
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Tracking-based rolling angles recovery method for holographic tomography of flowing cells
Daniele Pirone, Pasquale Memmolo, Francesco Merola, Lisa Miccio, Martina Mugnano, Amedeo Capozzoli, Claudio Curcio, Angelo Liseno, Pietro Ferraro
bioRxiv 2021.06.01.446558; doi: https://doi.org/10.1101/2021.06.01.446558
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Tracking-based rolling angles recovery method for holographic tomography of flowing cells
Daniele Pirone, Pasquale Memmolo, Francesco Merola, Lisa Miccio, Martina Mugnano, Amedeo Capozzoli, Claudio Curcio, Angelo Liseno, Pietro Ferraro
bioRxiv 2021.06.01.446558; doi: https://doi.org/10.1101/2021.06.01.446558

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