Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem

Kyle Smith; Ching-Yi Lin; Yann Gilpin; Elizabeth Wayne; Marc Dandin

doi:10.3389/fbioe.2023.1159004

Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem

Front Bioeng Biotechnol. 2023 May 12:11:1159004. doi: 10.3389/fbioe.2023.1159004. eCollection 2023.

Authors

Kyle Smith¹, Ching-Yi Lin², Yann Gilpin², Elizabeth Wayne^{1

3}, Marc Dandin^{2

3}

Affiliations

¹ Department of Chemical Engineering, Pittsburgh, PA, United States.
² Department of Electrical and Computer Engineering, Pittsburgh, PA, United States.
³ Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.

Abstract

We report on the use of a lab-on-CMOS biosensor platform for quantitatively tracking the proliferation of RAW 264.7 murine Balb/c macrophages. We show that macrophage proliferation correlates linearly with an average capacitance growth factor resulting from capacitance measurements at a plurality of electrodes dispersed in a sensing area of interest. We further show a temporal model that captures the cell number evolution in the area over long periods (e.g., 30 h). The model links the cell numbers and the average capacitance growth factor to describe the observed cell proliferation.

Keywords: CMOS; biosensors; capacitance; cell proliferation; lab-on-CMOS; lab-on-chip; macrophage-cell; model.

Grants and funding

This work was supported in part by the Pennsylvania Infrastructure Technology Alliance, a partnership of Carnegie Mellon, Lehigh University, and the Commonwealth of Pennsylvania’s Department of Community and Economic Development (DCED). This work was also supported in part by a CMU CIT Catalyst grant from Carnegie Mellon University, a DSF Charitable Foundation grant via the Mellon College of Science, and by Oracle Cloud credits and related resources provided by the Oracle for Research program. This work was further supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number 1 R35 GM142957-01. APC funding for this article was supported in part by the Carnegie Mellon University Libraries APC Fund.