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. Author manuscript; available in PMC: 2019 May 31.
Published in final edited form as: Nat Biomed Eng. 2019 Apr 1;3(5):381–391. doi: 10.1038/s41551-019-0376-5

Fig. 4|. SCM-PAM of intratumoral metabolic heterogeneity in a breast cancer patient.

Fig. 4|

a-d, Single-cell OCRs of normal breast tissue cells measured by SCM-PAM. a, SCM-PAM of sO2 changes in the microwells in high-resolution mode. b, Oxygen consumption curves of 87 normal cells measured by SCM-PAM in high-resolution mode. c, SCM-PAM of sO2 changes in the microwells in high-throughput mode. d, Oxygen consumption curves of 2,438 normal cells measured by SCM-PAM in high-throughput mode. e-h, Single-cell OCRs of cancerous breast tissue cells measured by SCM-PAM. e, SCM-PAM of sO2 changes in the microwells in high-resolution mode. f, Oxygen consumption curves of 93 cancer cells measured by SCM-PAM in high-resolution mode. g, SCM-PAM of sO2 changes in the microwells in high-throughput mode. h, Oxygen consumption curves of 2,463 cancer cells measured by SCM-PAM in high-throughput mode. i, Single-cell OCR distribution of normal and cancer cells from the patient measured, by SCM-PAM in high-throughput mode. b,d,f,h, Each data point represents the change in oxygen content in a single microwell at a measurement time point. The lines connect the data points at different measurement time points in the same microwell and are guides to allow the visualization of the change in oxygen content.