Raman Spectra Processing Prepared by: Ian Adam, Nathaniel Maor, Jonathan Phung Drexel University, School of Biomedical Engineering BMES 546: Biocomputational.

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Presentation transcript:

Raman Spectra Processing Prepared by: Ian Adam, Nathaniel Maor, Jonathan Phung Drexel University, School of Biomedical Engineering BMES 546: Biocomputational Languages

Background Raman Spectroscopy facilitates analysis and identification of chemical substance Creates fingerprints for various chemicals and substances Displays Frequency shifts (cm -1 ) after light re-emission Prone to noise and fluorescence contamination Image from: content/uploads/2014/01/RamanSpectroscopy.jpg

Problem Statement Create a Matlab GUI for a user to input a Raman spectrum, a background spectrum for a known contaminant in the sample, and output a clean and filtered output file for the user to visualize. Image from:

Example: Unprocessed Spectrum

Project Demo After Baseline Correction After Background Subtraction After Maximal Smoothing

Demo Screenshot of Processed Spectrum

Process Flowchart

Results Visualization of Processed Output Spectrum Baseline Correction Background Subtraction Smoothing Exported data as.txt file containing wavenumbers and corrected corresponding photon counts

Most Challenging Part Baseline correction was difficult to implement Solved by finding and implementing Mathworks backcor function Finding a database of freely available spectra Implementing a GUI without GUIDE

Future Ideas Program looks to online database of Raman Spectrum to provide example spectrum when User inputs chemical Name Perform correlation of two spectrum to see if test spectrum is made up of specific chemical (spectral decomposition) Determine chemical composition based on Raman spectrum (or integration into existing system)

Who Did What Ian Adam: Program Development and GUI Mockup Nathaniel Maor: Application and GUI debugging Jonathan Phung: Application and GUI optimization

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