Robotics & Machine Learning Daily News2024,Issue(Dec.10) :1-1.

AI-RACS: Innovative tool for mining aluminum-tolerant strains in acidic soils

Robotics & Machine Learning Daily News2024,Issue(Dec.10) :1-1.

AI-RACS: Innovative tool for mining aluminum-tolerant strains in acidic soils

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers from the Single-Cell Center at the Qi ngdao Institute of Bioenergy and BioprocessTechnology of the Chinese Academy of Sciences (CAS), together with collaborators, have developed anartificial intel ligence-assisted Raman-activated cell sorting (AI-RACS) system. This innovative system hasautomated the isolation and functional analysis of aluminum-tolerant microorganisms (ATMs) from acidicsoil, marking a shift from manual, labor-inten sive procedures to high-throughput automated workflows.This study was published in Analytical Chemistry.

Key words

Aluminum/Artificial Intelligence/Chine se Academy of Sciences Headquarters/Emerging Technologies/Light Metals/Machin e Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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