Machine-Learning Assisted Micropillar Assay for High-Throughput In-Situ Functional Analysis of Patterned Organoids

An organoid is a 3D multicellular tissue structure cultivated in vitro, designed to closely mimic its corresponding in vivo organ. This enables the study of various aspects of that organ within the controlled environment of a tissue culture dish. Although 3D tissue culture techniques have been in use for decades. The detection and quantification of protein biomarkers in-situ is hampered by challenges in its sampling and analysis. Here we report the use of a micropillar-based patch for fast in vivo sampling and on-pillar quantification of target protein biomarkers in organoid. We used the micropillar patch functioned with different size nanoparticles-antibody conjugates to detect the cytokines in a multiplex way with machine learning assisted image process. Micropillar patches for the minimally invasive collection and analysis of biomarkers in organoids might facilitate point-of-care diagnostics and longitudinal monitoring.