Towards a Lab-on-a-Chip as a Service (LoCaaS) Framework for in Vitro Cancer Cell Assays
Abstract
We present an information infrastructure for con-ducting massively parallel cancer cell culture assays. We demonstrate basic features of the proposed framework, namely, a set of in situ sensing capabilities based on a CMOS capacitance-sensing lab-on-a-chip platform (termed lab-on-CMOS, or LoCMOS), a customized database schema to allow numerous multimodal data streams, and a signal processing core for interpreting and visualizing cell culture data. For instance, we feature results showing that measured capacitance time series data correlate highly with visual cell coverage data, suggesting that either modality may be used with high-fidelity to estimate the degree of proliferation of the cell culture. We feature several services that may be used to interpret real-time capacitance data and real-time optical microscopy data.