학술논문
AI ON A CHIP FOR IDENTIFYING MICROALGAL CELLS WITH HIGH HEAVY METAL REMOVAL EFFICIENCY
Document Type
Conference
Source
2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers) SSolid-State Sensors, Actuators and Microsystems (Transducers), 2021 21st International Conference on. :385-388 Jun, 2021
Subject
Language
ISSN
2167-0021
Abstract
Microalgae-based methods used in heavy metal (HM)-polluted wastewater treatment have attracted increasing attention in recent decades, due to their eco-friendliness, profitability, and sustainability. Unfortunately, their low HM removal efficiency hinders them from practical use. In this work, we report an AI-on-a-chip method, a combination of AI and lab-on-a-chip technology, for identifying Euglena gracilis (a microalgal species) cells with high HM removal efficiency through a morphological meta-feature. In the near future, the implementation of the morphological meta-feature in a high-throughput cell sorting process will pave the way for realizing directed-evolution-based development of microalgae with extremely high HM removal efficiency for practical wastewater treatment worldwide.