Integrated detection techniques that can characterize the morphological properties of cells are needed for the widespread use of lab-on-a-chip technology. Herein, we establish a theoretical and experimental framework to use resonant microwave sensors in their higher order modes so that the morphological properties of analytes inside a microfluidic channel can be obtained electronically. We built a phase-locked loop system that can track the first two modes of a microstrip line resonator to detect the size and location of microdroplets and cells passing through embedded microfluidic channels. The attained resolution, expressed in terms of Allan deviation at the response time, is as small as 2 × 10 for both modes. Additionally, simulations were performed to show that sensing with higher order modes can yield the geometrical volume, effective permittivity, two-dimensional extent, and the orientation of analytes. The framework presented here makes it possible to develop a novel type of microscope that operates at the microwave band, i.e., a radar for cells.

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Stemming from the convergence of tissue engineering and microfluidics, organ-on-chip (OoC) technology can reproduce in vivo-like dynamic microphysiological environments for tissues in vitro. The possibility afforded by OoC devices of realistic recapitulation of tissue and organ (patho)physiology may hold the key to bridge the current translational gap in drug development, and possibly foster personalized medicine. Here we underline the biotechnological convergence at the root of OoC technology, and outline research tracks under development in our group at TU Delft along two main directions: fabrication of innovative microelectromechanical OoC devices, integrating stimulation and sensing of tissue activity, and their embedding within advanced platforms for pre-clinical research. We conclude with remarks on the role of open technology platforms for the broader establishment of OoC technology in pre-clinical research and drug development.

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Correction for 'Towards microwave imaging of cells' by Mehmet Kelleci et al., Lab Chip, 2018, DOI: 10.1039/c7lc01251a.