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Federica Valtellina

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Open access Aug 2026

A Deep Learning Pipeline for Cell Segmentation and Viability Quantification in 3D Constructs From Fluorescence Microscopy Images

This approach provides a scalable, reproducible, and efficient alternative to manual counting in 3D environments, enabling high‐throughput analysis of complex fluorescence microscopy data.

Federica Valtellina, Francesco Iannacci, B. M. Colosimo et al. · 0 citations

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