A deep learning enabled field-portable cell analyzer

Abstract

We demonstrate a deep learning enabled low-cost cell analyzer, Cellytics, with custom developed cell chip, which performs various cell analysis including counting, differentiation, size measurement, viability test, and eco-toxicity evaluation. Cellytics enables various cell analysis without employing any traditional optical microscope elements such as lenses and focusing procedures. Therefore, this analyzer has the advantage of wide field of view and cost-effective fabrication approach. In this paper, we presents the results of blood cell analysis and micro-algae viability test using Cellytics. Additionally, potential use in HIV diagnostics of this device would be also described by combining deep learning algorithm of Google Inception. ？ 2019 CBMS-0001.