Pixel-level analysis of protein markers in highly multiplexed immunofluorescence images of kidney biopsies

Madeleine S. Durkee; Junting Ai; Gabriel Casella; Thao Cao; Michael S. Andrade; Marcus R. Clark; Maryellen L. Giger

doi:10.1117/12.3008522

3 April 2024 Pixel-level analysis of protein markers in highly multiplexed immunofluorescence images of kidney biopsies

Madeleine S. Durkee, Junting Ai, Gabriel Casella, Thao Cao, Michael S. Andrade, Marcus R. Clark, Maryellen L. Giger

Proceedings Volume 12933, Medical Imaging 2024: Digital and Computational Pathology; 1293313 (2024) https://doi.org/10.1117/12.3008522
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

The goal of this work is to reduce the complexity of cell and cell neighborhood annotations in studies for spatial immunity. Specifically, we use a method inspired by spectral angle mapping to collapse multichannel images into class-level representations. We will demonstrate that these class maps assist in characterizing immune cell infiltration in renal pathologies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Madeleine S. Durkee, Junting Ai, Gabriel Casella, Thao Cao, Michael S. Andrade, Marcus R. Clark, and Maryellen L. Giger "Pixel-level analysis of protein markers in highly multiplexed immunofluorescence images of kidney biopsies", Proc. SPIE 12933, Medical Imaging 2024: Digital and Computational Pathology, 1293313 (3 April 2024); https://doi.org/10.1117/12.3008522

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