Anticipated Release Date: Q2FY24
Novel approaches to bioaerosol detection and identification that implement reliable, accurate and timely sampling mechanisms in a diverse range of operational environments. Aim to address current technical challenges such as false positive results, interference from environmental artifacts, and lack of automated & remote sampling approaches.
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