Raman Spectroscopy (RS) and machine learning are explored for the rapid, real-time, sensitive application of neurological diagnostics through the human eye. Biochemical information is obtained of fatty porcine tissue and flat-mounted porcine retinal samples using an in-house built, portable RS system. RS and FUNDUS imaging have been combined with a phantom eye model to obtain spectra under eye-safe parameters in an in-vivo environment, identifying high wavenumber bands. This system has the potential to detect acute, biochemical changes indicative of neurodegenerative disorders such as Traumatic Brain Injury for early and accurate diagnoses, crucial for neurological recovery.
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