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. Author manuscript; available in PMC: 2025 May 1.
Published in final edited form as: J Allergy Clin Immunol. 2024 Feb 22;153(5):1381–1391.e6. doi: 10.1016/j.jaci.2024.01.026

Figure 1. MC-AI method and MC-AI–identified MC density as a function of disease state.

Figure 1.

A. Digitally stitched whole biopsy immunofluorescence of human esophageal tissue, multiple 40X high-powered fields (hpf). Nuclear (blue) and tryptase (yellow) staining for mast cells (MCs). Image from one representative biopsy section; 40X hpf showing MCs stained for tryptase (left) and Segment.ai (MC-AI)–identified MCs (right). B. Correlation between manual and MC-AI counting of epithelial MCs (simple linear regression), n = 17 biopsy sections. C. Epithelial MC density in control (n = 21 patients), EoE remission (Remission, n = 20 patients), and active EoE (Active, n = 36 patients) (left) and lamina propria (LP) MC density in control (n = 6 patients), EoE remission (n = 14 patients), and active EoE (n = 20 patients) (right); markers represent individual patients, and bars represent the mean. Statistical differences between groups *p < 0.0332, **p < 0.0021, ***p < 0.0002, ****p < 0.0001, ns = not significant.