Search

Your search keyword '"Mugnano, Martina"' showing total 9 results
Start Over Author "Mugnano, Martina" Publisher ieee
9 results on '"Mugnano, Martina"'

1. Diagnosis of space-induced effects on blood components by label-free optical technique and microfluidics

Author

Behal, Jaromir, primary, Wang, Zhe, additional, Miccio, Lisa, additional, Mugnano, Martina, additional, Memmolo, Pasquale, additional, Pirone, Daniele, additional, Bianco, Vittorio, additional, La Verde, Giuseppe, additional, Kurelac, Ivana, additional, Villone, Massimiliano, additional, Pugliese, MariaGabriella, additional, Arrichiello, Cecilia, additional, Ferranti, Francesca, additional, Muto, Paolo, additional, Mari, Silvia, additional, and Maffettone, PierLuca, additional

Published
2023
Full Text
View/download PDF

3. Label-free microfluidic platform for blood analysis based on phase-contrast imaging

Author

Miccio, Lisa, primary, Cimmino, Flora, additional, Kurelac, Ivana, additional, Villone, Massimiliano M., additional, Bianco, Vittorio, additional, Mugnano, Martina, additional, Merola, Francesco, additional, Memmolo, Pasquale, additional, Pirone, Daniele, additional, Capasso, Mario, additional, Iolascon, Achille, additional, Maffettone, PierLuca, additional, and Ferraro, Pietro, additional

Published
2021
Full Text
View/download PDF

4. Tomographic flow cytometry as the key-enabling technology for label-free liquid biopsy

Author

Memmolo, Pasquale, primary, Pirone, Daniele, additional, Miccio, Lisa, additional, Cimmino, Flora, additional, Kurelac, Ivana, additional, Villone, Massimiliano M., additional, Bianco, Vittorio, additional, Merola, Francesco, additional, Mugnano, Martina, additional, Capasso, Mario, additional, Iolascon, Achille, additional, Maffettone, Pier Luca, additional, and Ferraro, Pietro, additional

Published
2021
Full Text
View/download PDF

5. Neuroblastoma Cells Classification Through Learning Approaches by Direct Analysis of Digital Holograms.

Author

Delli Priscoli, Mattia, Memmolo, Pasquale, Ciaparrone, Gioele, Bianco, Vittorio, Merola, Francesco, Miccio, Lisa, Bardozzo, Francesco, Pirone, Daniele, Mugnano, Martina, Cimmino, Flora, Capasso, Mario, Iolascon, Achille, Ferraro, Pietro, and Tagliaferri, Roberto

Abstract

The label-free single cell analysis by machine and Deep Learning, in combination with digital holography in transmission microscope configuration, is becoming a powerful framework exploited for phenotyping biological samples. Usually, quantitative phase images of cells are retrieved from the reconstructed complex diffraction patterns and used as inputs of a deep neural network. However, the phase retrieval process can be very time consuming and prone to errors. Here we address the classification of cells by using learning strategies with images coming directly from the raw recorded digital holograms, i.e. without any data processing or refocusing involved. Indeed, in the raw digital hologram the entire complex amplitude information of the sample is intrinsically embedded in the form of modulated fringes. We develop a training strategy, based on deep and feature based machine learning models, in order extract such information by skipping the classical reconstruction process for classifying different neuroblastoma cells. We provided an experimental validation by using the proposed strategy to classify two neuroblastoma cell lines. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

6. Writing in Photorefractive Crystals by Bio-Lenses

Author

Miccio, Lisa, primary, Behal, Jaromir, additional, Mugnano, Martina, additional, Grilli, Simonetta, additional, Mandracchia, Biagio, additional, Merola, Francesco, additional, Memmolo, Pasquale, additional, and Ferraro, Pietro, additional

Published
2019
Full Text
View/download PDF

8. Label-free microfluidic platform for blood analysis based on phase-contrast imaging

Author

Martina Mugnano, Vittorio Bianco, Flora Cimmino, Mario Capasso, Achille Iolascon, Lisa Miccio, Daniele Pirone, Francesco Merola, Pier Luca Maffettone, Pasquale Memmolo, Pietro Ferraro, Massimiliano M. Villone, Ivana Kurelac, Miccio, Lisa, Cimmino, Flora, Kurelac, Ivana, Villone, Massimiliano M., Bianco, Vittorio, Mugnano, Martina, Merola, Francesco, Memmolo, Pasquale, Pirone, Daniele, Capasso, Mario, Iolascon, Achille, Maffettone, Pier Luca, and Ferraro, Pietro

Subjects
business.industry, Computer science, Microfluidics, Phase-contrast imaging, Lab-on-a-chip, law.invention, Lab on chip, Microfluidic, law, business, Aerospace, Blood analysi, Computer hardware, Label free
Abstract

A lab-on-chip platform for blood cells analysis will be presented that combine phase-contrast label-free imaging, microfluidics and artificial intelligence. Such platform will have important impact in the aerospace field quantifying the effect on the blood cells of astronauts stresses. Furthermore, smart and innovative platform for blood analysis could be the key element for innovative biomedicine and telemedicine solutions in aerospace applications.

Published
2021

9. Tomographic flow cytometry as the key-enabling technology for label-free liquid biopsy

Author

Mario Capasso, Daniele Pirone, Achille Iolascon, Ivana Kurelac, Flora Cimmino, Lisa Miccio, Massimiliano M. Villone, Francesco Merola, Martina Mugnano, Vittorio Bianco, Pasquale Memmolo, Pietro Ferraro, Pier Luca Maffettone, Memmolo, Pasquale, Pirone, Daniele, Miccio, Lisa, Cimmino, Flora, Kurelac, Ivana, Villone, Massimiliano M., Bianco, Vittorio, Merola, Francesco, Mugnano, Martina, Capasso, Mario, Iolascon, Achille, Maffettone, Pier Luca, and Ferraro, Pietro

Subjects
medicine.medical_specialty, Tomographic reconstruction, medicine.diagnostic_test, business.industry, Flow cytometry, Biological specimen, Circulating tumor cell, Biopsy, medicine, Radiology, Tomography, Liquid biopsy, business, Label free
Abstract

Liquid biopsy (LB) is a promising oncological tool that aims to the early diagnosis of tumors and to improve the therapeutical efficacy by following patient treatment. It is based on the detection and analysis of circulating tumor cells (CTCs) released into the bloodstream from primary or metastatic tumors. However, a reliable label-free LB tool has not yet been developed. Therefore, here we discuss the advantages derived from combining microfluidics and label-free quantitative imaging, to access the full three-dimensional (3D) information of a biological specimen by performing the tomographic reconstruction at single-cell level in high throughput modality. Experimental results on some CTCs are reported.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results