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Project 144

Challenge Question

Can we determine different types of pollen and particle in the air to better protect us all?


Project Summary

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The Real-Time Airborne Particle Identifier Rapid-E from Plair SA is designed for real-time sampling and analysis of airborne particles. Compared to its predecessor PA-300 it delivers full-time-resolved 24-angle scattering of a near-UV laser beam, deep-UV laser-induced fluorescence in 32 measuring channels within a spectral range of 350–800 nm, eight sequential acquisitions with 500 ns retention, and lifetime fluorescence at four spectral bands: 350-400, 420-460, 511-572, 672-800 and 2 ns temporal resolution. Recent studies indicate the use of flow cytometry has the potential for the identification of bioaerosols but dealing with a huge amount of diverse data makes the AI method of choice for analysis.

The research team for this challenge will design an app to be used in conjunction with the Real-Time Airborne Particle Identifier Rapid-E that uses data about lifetime features, spectrum, and size from scattering to identify and classify pollen. The research team for this project may be composed of individuals with interests or specialization in software engineering, computer engineering, electrical engineering, and botany.

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Sustainable Development Goals

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Organizational Profile

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Key Words

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  • Engineering
  • Botany
  • AI

Partner Website

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