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Cryopreservation is a process that requires cryoprotective agents (CPAs) to effectively preserve various cells, tissues, and organs; however, the chemicals used in CPAs can be toxic at certain concentrations, so it is important to establish a biological model to screen the toxicity of CPAs. We propose the common brine shrimp, Artemia salina, as a toxicological model to study the toxicity of CPAs at various concentrations, alongside a machine learning tracking program that quantifies the survival rate and swim speeds of the brine shrimp after hatching. For this study, cysts and hatched Artemia were placed in three different CPAs at various concentrations with filtered sea water as the base, and ten-second videos were recorded hourly (up to 5 hours) and then every 24 hours to monitor the Artemia. This process was repeated for 5 binary solutions at 2.5 mol% and 5.0 mol% of chemicals that are often included in multicomponent CPAs. Each of the videos were then analyzed using the tracking program, which calculated the survival rate and swim speeds of each Artemia. A direct correlation was discovered between the concentration of a CPA and the survival rate of the Artemia, with a decrease in the survival rate observed with increasing exposure time to the CPA. Additionally, certain chemicals in the binary solutions were more acutely toxic to the Artemia, matching previously known toxicity data obtained from other testing methods. Overall, Artemia salina has proven to be a promising model for CPA toxicity screening, and when paired with a tracking program that measures the viability and swim speeds, could produce a databank of toxicological profiles similar to those of mammalian cells for a variety of CPAs.