Muzhen Xu, J. Harmon, T. Hasunuma, A. Isozaki, K. Goda
{"title":"AI ON A CHIP FOR IDENTIFYING MICROALGAL CELLS WITH HIGH HEAVY METAL REMOVAL EFFICIENCY","authors":"Muzhen Xu, J. Harmon, T. Hasunuma, A. Isozaki, K. Goda","doi":"10.1109/Transducers50396.2021.9495554","DOIUrl":null,"url":null,"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.","PeriodicalId":6814,"journal":{"name":"2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)","volume":"17 1","pages":"385-388"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Transducers50396.2021.9495554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
