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