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
It’s hip to be square.
Students presenting projects at the symposium are encouraged to download this personal QR code and include it within your poster. This allows symposium attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.