Author

Martina Mugnano

University of Naples Federico IIORCID 0000-0003-2734-8448Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Assay:imaging· 2 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:flow cytometry· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Achille IolasconiD· 2 shared Annalaura MontellaiD· 2 shared Daniele PironeiD· 2 shared Diego Luis MedinaiD· 2 shared Giulia ScaliaiD· 2 shared Giusy GiuglianoiD· 2 shared Lisa MiccioiD· 2 shared Maddalena RaiaiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Achille IolasconORCID

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2 papers

Recent·Most cited

BiophysicsAdvanced PhotonicsPeer-reviewedAug 31, 2026

Label-Free Nucleoli Measurement by 3D Holo-Tomographic Flow Cytometry Using Biolens Phase Compensation

Daniele Pirone, Michela Schiavo, Giusy Giugliano…·Pietro Ferraro

This paper introduces Biolens Phase Compensation to enable 3D nucleoli measurement in HTFC, achieving intranuclear specificity comparable to fluorescence microscopy.

DOI 10.1117/1.ap.8.4.046009

imagingmicroscopy & imaging analysis

𝕏 PostBluesky

BiophysicsOpto-Electronic SciencePeer-reviewedJan 1, 2026

Holotomography-driven learning for in-silico staining of single cells in flow cytometry avoiding co-registration

Daniele Pirone, Giusy Giugliano, Michela Schiavo…·Pietro Ferraro

This paper introduces a Holotomography-driven learning method for virtual staining in flow cytometry without requiring co-registration, enabling label-free single-cell analysis.

1 citation

flow cytometryimaging

𝕏 PostBluesky