Author

F. Merola

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:fluorescence / live-cell microscopy· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:flow cytometry· 1 Organism:human· 1

Frequent Co-Authors

D. Pirone· 2 shared G. Bertolin· 2 shared L. Miccio· 2 shared M. Erard· 2 shared M. Mugnano· 2 shared M. Tramier· 2 shared P. Ferraro· 2 shared P. Memmolo· 2 shared

Activity by Year

2019-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioengineering

D. Pirone

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Stain-free nucleus identification in holographic learning flow cyto-tomography

D. Pirone, J. Lim, F. Merola, L. Miccio, M. Mugnano, V. Bianco, F. Cimmino, F. Visconte, A. Montella, M. Capasso, A. Iolascon, P. Memmolo, D. Psaltis, P. Ferraro

This paper introduces a computational method to identify cell nuclei in stain-free holographic flow cytometry data using statistical inference, validated against confocal microscopy.

bioRxiv · Dec 22, 2021 · PreprintBioengineering

Tracking-based rolling angles recovery method for holographic tomography of flowing cells

D. Pirone, P. Memmolo, F. Merola, L. Miccio, M. Mugnano, A. Capozzoli, C. Curcio, A. Liseno, P. Ferraro

This paper introduces a tracking-based method to recover rolling angles in holographic tomography of flowing cells, validated numerically and experimentally for cancer cells.

bioRxiv · Jun 1, 2021 · PreprintBioengineering

tdLanYFP, a yellow, bright, photostable and pH insensitive fluorescent protein for live cell imaging and FRET-based sensing strategies

Y. Bousmah, H. Valenta, G. Bertolin, U. Singh, V. Nicolas, H. Pasquier, M. Tramier, F. Merola, M. Erard

bioRxiv · Apr 27, 2021Biophysics

Optimised FRET pairs and quantification approaches to detect the activation of Aurora kinase A at mitosis

G. Bertolin, F. Sizaire, C. Demeautis, C. Chapuis, F. Merola, M. Erard, M. Tramier

This paper develops optimized FRET biosensors to detect Aurora kinase A activation during mitosis with improved sensitivity and multiplexing capabilities.

bioRxiv · May 13, 2019Cell Biology