What question did this study set out to answer?

This research aims to develop a quantitative method for assessing concordance between IHC and mIF stains in a cancer dataset.

April 4, 2026

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Abstract 715: Robust segmentation-free stain quality concordance metrics in the SpaceIQ™ multi-omic analysis platform.

BFBrian FalkensteinExpro (United Kingdom)RYRaymond Yan ATA. Burak Tosun

Key Points

This research aims to develop a quantitative method for assessing concordance between IHC and mIF stains in a cancer dataset.
Utilized a pan-cancer dataset with a 4-plex mIF panel and matching IHC sections.
Co-registered images using global rigid and non-rigid transformations.
Isolated IHC stain channels with stain-matrix-based deconvolution.
Generated tissue masks using Otsu thresholding and morphology operations.
Assessed stain concordance within divided image tiles using statistical tests.
Concordance between mIF and IHC varies by marker, with CD8 showing highest agreement and FoxP3 showing lowest.
Spatial analysis revealed regions of both high and low concordance in staining.
Quantitative findings correlated with expert visual review.

Abstract

Abstract Background: Spatial imaging outputs continue to grow in scale and complexity. While brightfield IHC and H Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 715.

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Cite This Study

Falkenstein et al. (Fri,) studied this question.

synapsesocial.com/papers/69d0aff2659487ece0fa6225 https://doi.org/https://doi.org/10.1158/1538-7445.am2026-715

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