Natalie Lauren Mason

Computer science

Hometown: Tucson, Arizona, United States

Graduation date: Spring 2022

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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.


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