Deep Learning-Based Spatial Immunoprofiling of Multiplex Immunofluorescence Images Distinguishes Tuberculosis Disease States in Diversity Outbred Mice
Usama Sajjad, Nicholas A. Crossland, Metin N. Gürcan, Gillian Beamer, Muhammad Khalid Khan Niazi
This study uses deep learning to analyze spatial immune patterns in tuberculosis-infected mice, identifying distinct granuloma features associated with asymptomatic, acute, and chronic disease states.
PLoS ONE · Sep 25, 2026Peer-reviewedImmunology