Natalie Lauren Mason
Computer science
Hometown: Tucson, Arizona, United States
Graduation date: Spring 2022
FURI | Spring 2020
Raman Spectrometry Conclusions as an Example of Intuitive Software
There is a lack of accessibility in Raman spectrometry (used to detect the presence of compounds in provided samples). It was determined that by creating a software which aided in reducing human error, along with development of a smaller scale hardware, this accessibility issue could be remedied. In this work the researcher developed an algorithm to automatically compare the obtained spectrum to a database of known spectrums to detect the presence of organic compounds. Future work will involve improving the detection efficiency of the algorithm, offering more intuitive software and making usability simpler.Mentor: Anoop Singh