Mr. Daniele Gaetano Sirico Profile

Daniele Gaetano Sirico

Research Fellow at ISASI - CNR

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Publications (5)

Proceedings Article | 11 August 2023 Presentation + Paper

Encoding single-cell phase-contrast tomograms by 3D Zernike descriptors

Pasquale Memmolo, Daniele Pirone, Daniele Sirico, Lisa Miccio, Vittorio Bianco, Ahmed Ayoub, Demetri Psaltis, Pietro Ferraro

Proceedings Volume 12622, 126220C (2023) https://doi.org/10.1117/12.2674829

KEYWORDS: Tomography, Zernike polynomials, 3D image processing, Flow cytometry, Visualization, Radium, Phase imaging, Intelligence systems, Imaging systems, Californium

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Proceedings Article | 11 August 2023 Poster + Paper

Detection of cells with lipid droplets exploiting their biolens’ signature in holographic imaging flow cytometry

Daniele Pirone, Daniele Sirico, Martina Mugnano, Danila Del Giudice, Ivana Kurelac, Beatrice Cavina, Pasquale Memmolo, Lisa Miccio, Pietro Ferraro

Proceedings Volume 12622, 1262218 (2023) https://doi.org/10.1117/12.2674987

KEYWORDS: Holography, Flow cytometry, Digital holography, Holograms, Pathology, Wave propagation, Optical components, Digital recording, Biological imaging, Wavefronts

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Proceedings Article | 9 August 2023 Presentation + Paper

End-to-end neural network for speeding up the tomographic reconstruction in holographic imaging flow cytometry

Daniele Pirone, Daniele Sirico, Lisa Miccio, Vittorio Bianco, Martina Mugnano, Pietro Ferraro, Pasquale Memmolo

Proceedings Volume 12621, 126210Q (2023) https://doi.org/10.1117/12.2674981

KEYWORDS: Holography, Tomography, Holograms, Flow cytometry, Digital holography, Microscopes, Microfluidics, Neural networks, Measurement devices

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Proceedings Article | 16 March 2023 Presentation + Paper

Label-free 3D visualization and quantification of endogenous and exogenous intracellular particles in single cells by holographic flow tomography

Daniele Pirone, Martina Mugnano, Daniele Sirico, Lisa Miccio, Vittorio Bianco, Francesco Merola, Danila del Giudice, Giuseppe Cesare Lama, Rachele Castaldo, Simonetta Grilli, Giannandrea Pasquinelli, Sabrina Valente, Silvia Lemma, Luisa Iommarini, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro

Proceedings Volume 12391, 123910B (2023) https://doi.org/10.1117/12.2663945

KEYWORDS: Tomography, Holography, Digital holography, Microfluidics, 3D visualizations, Biological samples, Reconstruction algorithms

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Proceedings Article | 20 May 2022 Paper

Tomographic phase microscopy at single cell scale without a-priori knowledge of cell orientations: smart strategies for rotation angles recovery

Lisa Miccio, Daniele Pirone, Daniele Sirico, Francesco Merola, Pasquale Memmolo, Vittorio Bianco, Zhe Wang, Jaromir Behal, Danila Del Giudice, Martina Mugnano, Pietro Ferraro

Proceedings Volume 12136, 121360T (2022) https://doi.org/10.1117/12.2626452

KEYWORDS: Tomography, Microscopy, Microfluidics, Digital holography, Holography, 3D image processing, Cameras, Artificial intelligence, Refractive index, Optical design

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Tomographic phase microscopy in cytometry environment is feasible at single cell level and without the a-priori knowledge of the cell orientation. In the present paper we demonstrate different strategies for recovery the rotation angles of single cells and clusters when rotating into microfluidic channels, thus realistically opening to the implementation of marker-free cytofluorimeter for three-dimensional imaging of biological fluids. The pioneering developed strategies allows to measure quantitatively the inner distribution of the refractive indexes inside the cell volume avoiding the use of chemical and fluorescent tags. The imaging apparatus is based on label-free Digital Holography in microscopy setup designed in transmission geometry to image 700x700μm Field of View with lateral resolution of 0.5μm. Digital Holography is perfectly suited for imaging in microchannels as it allows the numerical refocusing of sample into a three-dimensional volume. In the present paper, such imaging arrangement is combined with a high-precision pumping system connected to a microfluidic channel that allow the complete rotation of the flowing cells into the Field of View. High-speed 25Megapixel camera acquires holographic set measurements of all rotating cells that are numerically processed to obtain quantitative two-dimensional phase-contrast maps at different view angles. Accurate numerical algorithms allow to tag each phasecontrast maps with the rotation angle in the microchannel. The couples made of phase-contrast map and measured angle are given as input at tomography algorithms to obtain the refractive index distribution into the cell volume. The approach in principles works properly for any kind of biological matter subjected to rotation as already demonstrated in case of nuclei of plant cells during dehydration. Furthermore, the same approach allows to show the three-dimensional distribution of internalized nano-particles as in case of nano-graphene oxide. The most important achievement and innovation of such strategy is the high-throughput phase-contrast tomography at single cell level that opens to new diagnostic tool thanks to the possibility to have statistically relevant measurement on cell population and also for the possibility to use artificial intelligence architecture for cell identification and classification.

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