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Kushal Joshi

at Univ of California Irvine

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Proceedings Article | 21 February 2020 Paper

An inkjet-printed and reusable platform for single cell impedance cytometry

Kushal Joshi, Rahim Esfandyarpour

Proceedings Volume 11235, 112350Y (2020) https://doi.org/10.1117/12.2543160

KEYWORDS: Electrodes, Microfluidics, Manufacturing, Diagnostics, Flow cytometry, Electronics, Inkjet technology, Point-of-care devices

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Cell counting is a popular method for rapid diagnosis of various infectious diseases such as tuberculosis, malaria and typhoid. Cell counting is often performed using a flow cytometer, which in most case, is bulky and expensive, unsuitable for use in low-resource settings. In the recent years, electric impedance flow cytometry (IFC) platforms have gained popularity for cell counting due to their portability and low cost compared to traditional flow cytometers. However, the electronics used in conventional IFC platforms are manufactured in specialized cleanrooms, which increases the cost per device and hinders large scale production of such devices in resource-poor and developing countries. To tackle this problem, we report a novel IFC platform with low-cost inkjet-printed electronics which can be easily manufactured with a standard inkjet printer, without the need for specialized cleanrooms and skilled personnel. Unlike traditional IFC platforms, the electronics and the microfluidic devices are kept separate from each other, which makes the electronic apparatus reusable and extends the platform lifetime. Most notably, the cost and complexity of manufacturing our platform is significantly low compared to traditional IFC platforms. Here we demonstrate the utility of our platform to effectively count cells in a sample. We have also demonstrated the utility of our platform for size-based classification of cells by performing model experiments with non-homogeneous oil-in-PBS emulsion. The results indicate that our platform can effectively differentiate oil-droplets of various sizes purely using impedance signatures. This can be extended to differentiate cell populations based on their sizes purely using impedance signatures of single cells.

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