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

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

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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.

AluminumArtificial IntelligenceChine se Academy of Sciences HeadquartersEmerging TechnologiesLight MetalsMachin e Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.10)