The goal was to use techniques of Deep Learning and Machine Learning for Classification of Pollen in Novi Sad area.
Data is packed into 3 csv files containing scattered light, fluorescence spectrum and lifetime of fluorescence signals for every sampled particle, additional features from scattering and lifetime data are also available.
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 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 identification of bioaerosols , but dealing with a huge amount of diverse data makes AI method of choice for analysis.