Abstract: Aspects relate to an optical fluid analyzer including a fluid cell configured to receive a sample fluid. The optical fluid analyzer further includes optical elements configured to seal the fluid cell on opposing sides thereof and to allow input light from a light source to be sent through the fluid cell and output light from the fluid cell to be input to a spectrometer. The optical fluid analyzer further includes a machine learning (ML) engine, such as an artificial intelligence (AI) engine, that is configured to generate a result defining at least one parameter of the fluid based on a spectrum produced by the spectrometer.

Abstract: A system, method and kit for preparing a cellular biological sample are disclosed. In a particular embodiment, the disclosed system (200) is configured to mate with a substrate (208), such as a microscope slide, and provide the fluidics that can be used to perform a particular sample preparation protocol. The disclosed system is particularly suited for use in a point-of-care setting, such as in a surgical suite or in a resource-limited or remote setting where automation of the sample preparation protocol is not a viable alternative.