SuperμMAPPS: a supervised AI-phasor-based method to investigate collagen micro-architecture and early detect tumorous tissue in human samples

Riccardo Scodellaro; Davide Panzeri; Elena Pagani; Margaux Bouzin; Laura D'Alfonso; Maddalena Collini; Giuseppe Chirico; Laura Sironi

doi:10.1117/12.2673863

12 August 2023 SuperμMAPPS: a supervised AI-phasor-based method to investigate collagen micro-architecture and early detect tumorous tissue in human samples

Riccardo Scodellaro, Davide Panzeri, Elena Pagani, Margaux Bouzin, Laura D'Alfonso, Maddalena Collini, Giuseppe Chirico, Laura Sironi

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Proceedings Volume PC12622, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI; PC126220A (2023) https://doi.org/10.1117/12.2673863
Event: SPIE Optical Metrology, 2023, Munich, Germany

Abstract

Despite their key-role during the histopathological diagnosis, staining procedures are expensive and time-consuming. Label-free microscopy provides an alternative since it allows the visualization of endogenous proteins without the need of extrinsic dyes. SuperµMAPPS, a novel AI-based method, analyzes the Polarized Second Harmonic Generation signal from collagen to characterize its micro-architecture in terms of fibrils mean orientation θF and anisotropy γ, related to tumor development. After a proper validation on synthetic images, human breast cancer samples at different growth stages have been analyzed through SuperµMAPPS, highlighting its capability to detect tumorous tissue at early stages in a real clinical context.

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Riccardo Scodellaro, Davide Panzeri, Elena Pagani, Margaux Bouzin, Laura D'Alfonso, Maddalena Collini, Giuseppe Chirico, and Laura Sironi "SuperμMAPPS: a supervised AI-phasor-based method to investigate collagen micro-architecture and early detect tumorous tissue in human samples", Proc. SPIE PC12622, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, PC126220A (12 August 2023); https://doi.org/10.1117/12.2673863

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KEYWORDS

Biological samples

Collagen

Tissues

Tumors

Cancer detection

Second harmonic generation

Signal generators

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