Abstract: Methods and systems are provided for detecting infectious pathogens in a saliva sample by using a Raman spectrometer to obtain Raman spectrum data of the saliva sample. A score is determined based on the Raman spectrum data using a machine learning, the score indicates whether an infectious pathogen is present in the saliva sample. In certain aspects, the methods and systems operate to determine if an individual is infected with COVID-19 based on Raman spectrum data of a saliva sample of the individual.

Abstract: A mobile phone-based system for ELISA (MELISA). The MELISA system can perform all steps of ELISA procedure and output hormone concentration values. The system includes a heater that keeps the temperature required for sample incubation, illumination system for sample image capturing, and a digital camera system. All components are enclosed in a dark box to create optimal light conditions for image capturing. After sample images are captured, they are digitally processed, and hormone concentration values are reported based on colorimetric data from the samples. The system can be used to complete all steps of the assay, including incubation and reading. It is lightweight, can be fabricated at low cost, is portable, and can transfer test results via mobile phone. MELISA can be calibrated for accurate measurements of progesterone and has demonstrated successful measurements with the calibrated system.

Abstract: Methods and systems are provided for detecting infectious pathogens in a saliva sample by using a Raman spectrometer to obtain Raman spectrum data of the saliva sample. A score is determined based on the Raman spectrum data using a machine learning, the score indicates whether an infectious pathogen is present in the saliva sample. In certain aspects, the methods and systems operate to determine if an individual is infected with COVID-19 based on Raman spectrum data of a saliva sample of the individual.