Given the extraordinary nature of tumor metabolism in hepatocellular carcinoma and its impact on oncologic treatment response, this study introduces a novel highâthroughput extracellular pH (pHe) mapping platform using magnetic resonance spectroscopic imaging in a threeâdimensional (3D) in vitro model of liver cancer. pHe mapping was performed using biosensor imaging of redundant deviation in shifts (BIRDS) on 9.4 T and 11.7 T MR scanners for validation purposes. 3D cultures of four liver cancer (HepG2, Huh7, SNU475, VX2) and one hepatocyte (THLE2) cell line were simultaneously analyzed (a) without treatment, (b) supplemented with 4.5 g/L dâglucose, and (c) treated with antiâglycolytic 3âbromopyruvate (6.25, 25, 50, 75, and 100 ÎŒM). The MR results were correlated with immunohistochemistry (GLUTâ1, LAMPâ2) and luminescenceâbased viability assays. Statistics included the unpaired tâtest and ANOVA test. Highâthroughput pHe imaging with BIRDS for in vitro 3D liver cancer models proved feasible. Compared with nonâtumorous hepatocytes (pHe = 7.1 ± 0.1), acidic pHe was revealed in liver cancer (VX2, pHe = 6.7 ± 0.1; HuH7, pHe = 6.8 ± 0.1; HepG2, pHe = 6.9 ± 0.1; SNU475, pHe = 6.9 ± 0.1), in agreement with GLUTâ1 upregulation. Glucose addition significantly further decreased pHe in hyperglycolytic cell lines (VX2, HepG2, and Huh7, by 0.28, 0.06, and 0.11, respectively, all p < 0.001), whereas 3âbromopyruvate normalized tumor pHe in a doseâdependent manner without affecting viability. In summary, this study introduces a nonâinvasive pHe imaging platform for highâyield screening using a translational 3D liver cancer model, which may help reveal and target mechanisms of therapy resistance and inform personalized treatment of patients with hepatocellular carcinoma.