Multimodal Phasor Analysis for Digital Pathology: Quantitative Characterization of Liver Iron Overload

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Authors: Davide Panzeri, Reha Akpınar, Laura D’Alfonso, Margaux Bouzin, Luca Presotto, Maddalena Collini, Giuseppe Chirico, Luca Di Tommaso, Donato Inverso, Laura Sironi
Cited by: 2
References: 41

Abstract

Hemochromatosis is a pathological condition characterized by the excessive absorption and storage of iron, primarily in the liver, which can lead to life-threatening complications. Histological tissue sections stained with Perls' Prussian Blue (PB) are used to visualize iron accumulation under transmitted light. In clinical practice, pathologists evaluate the density and intensity of these Prussian Blue deposits through direct visual inspection, a semiquantitative process that can be influenced by individual interpretation and experience. Whole-slide scanners now digitize entire tissue sections into high-resolution RGB whole-slide images (WSIs), allowing image analysis algorithms to support pathologists with quantitative diagnostics. In this context, we developed a WSI processing method based on a multimodal phasor approach to quantify the extent, size and distribution of iron deposits, providing quantitative data that closely correlate with pathologists' diagnoses based on the Scheuer scoring system. The Discrete Fourier Transform was used to map the RGB spectral data into the phasor plane, where the contribution of the PB stain was isolated using an unsupervised clustering method. Additionally, the size of Prussian Blue aggregates was determined through phasor analysis of the spatial autocorrelation function. Our results highlight the benefits of phasor-based analysis in segmentation, comprehensive analysis, and the efficient management of large image data sets. This method has potential applications in analyzing immunohistochemistry and immunofluorescence spectral images, as well as in simultaneously studying nanoparticle size and diffusion properties within tissues.

Fields of Study & Subjects

AI in cancer detection Digital Imaging for Blood Diseases Spectroscopy Techniques in Biomedical and Chemical Research

Publication details

Journal / source
Chemical & Biomedical Imaging
Publisher
American Chemical Society (ACS)
Volume
4
Issue
6
Pages
1186–1195
Publication date
16 January 2026
Language
EN