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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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Abstract

Holographic Tomography (HT) is an emerging label-free technique for microscopic bioimaging applications, that allows reconstructing the three-dimensional (3D) refractive index (RI) distribution of biological specimens. Recently, an in-flow HT technique has been proposed in which multiple digital holograms are recorded at different viewing angles around the sample while it flows and rotates within a microfluidic channel. However, unlike conventional HT methods, there is no a priori information about cell 3D orientations, that are instead requested to perform any tomographic algorithm. Here we investigate a tracking-based rolling angles recovery method, showing robustness against the sample’s features. It is based on a phase images similarity metric recently demonstrated, that exploits the local contrast phase measurements to recognize a full cell rotation within the microfluidic channel. Hence, the orientations of the flowing cells are retrieved from their positions, which are in turn computed through the 3D holographic tracking. The performances of the rolling angles recovery method have been assessed both numerically, by simulating a 3D cell phantom, and experimentally, by reconstructing the 3D RI tomograms of two cancer cells. Both the numerical and the experimental analysis have been performed at different spatial resolutions. This rolling angles recovery method, not depending on the cell shapes, the RI contents, and the optical experimental conditions, could pave the way to the study of circulating tumor cells (CTCs) in the challenging tool of liquid biopsy.

Competing Interest Statement

The authors have declared no competing interest.

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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.
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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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