Author

Francesca Reggiani

Azienda Sanitaria Unità Locale di Reggio EmiliaORCID 0000-0002-4090-8908Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Beatrice CavinaiD· 1 shared Daniele PironeiD· 1 shared Francesca Nanetti· 1 shared Giusy GiuglianoiD· 1 shared Ivana KurelaciD· 1 shared Lisa MiccioiD· 1 shared Pasquale MemmoloiD· 1 shared Pietro FerraroiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

Beatrice CavinaORCID

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1 paper

Recent·Most cited

Impact of Image Representation on Deep Learning-Based Single-Cell Classification by Holographic Imaging Flow Cytometry

Daniele Pirone, Beatrice Cavina, Giusy Giugliano, Francesca Nanetti, Francesca Reggiani, Lisa Miccio, Ivana Kurelac, Pietro Ferraro, Pasquale Memmolo

This paper evaluates image representations in holographic imaging flow cytometry to balance classification accuracy and computational efficiency for deep learning-based cell type classification.

Journal of Physics Photonics · Jun 1, 2026Peer-reviewedBiophysics