Work

Review of AI-Enabled In-Flow Imaging Technologies for Early Detection of Cyanobacterial Taste-and-Odor Metabolite Risks in Water Supply Systems

Year: 2026

Type: article

Source: ACS ES&T Water

DOI: 10.1021/acsestwater.6c00058

Authors: Negar Taheriashtiani, Tsair-Fuh Lin, Michael Burch, Anna Lintern, Arash Zamyadi

Institutions: Monash University, National Cheng Kung University, Adelaide University, The University of Adelaide

Language: English

Topic: Aquatic Ecosystems and Phytoplankton Dynamics

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: Water Research Australia, Monash University, National Cheng Kung University, National Science and Technology Council

Award: G2000539003

OpenAlex ID: W7154374594

FWCI: 2.042

Cites: 81

Cited by: 1

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