Samsung Advanced Institute of Technology

Measuring, recording and analyzing spectral information of materials as its unique finger print using a ubiquitous smartphone has been craved for by scientists and consumers. We demonstrated it as drug classification by chemical components with smartphone Raman spectrometer. The Raman spectrometer is based on the CMOS image sensor of the smartphone with a periodic array of band pass filters, capturing 2D Raman spectral intensity map, newly defined as spectral barcode in this work. With the aid of convolutional neural network (CNN), 11 major components of drugs are classified with high accuracy, 99.0%. The beneficial of spectral barcodes is that even brand name of drug is distinguishable and major component of unknown drugs can be identified. Combining spectral barcode with information obtained by RGB imaging system or applying image recognition techniques, this inherent property based labeling system will facilitate fundamental research and business opportunities.Measuring, recording and analyzing spectral information of materials as its unique finger print using a ubiquitous smartphone has been craved for by scientists and consumers. We demonstrated it as drug classification by chemical components with smartphone Raman spectrometer. The Raman spectrometer is based on the CMOS image sensor of the smartphone with a periodic array of band pass filters, capturing 2D Raman spectral intensity map, newly defined as spectral barcode in this work. With the aid of convolutional neural network (CNN), 11 major components of drugs are classified with high accuracy, 99.0%. The beneficial of spectral barcodes is that even brand name of drug is distinguishable and major component of unknown drugs can be identified. Combining spectral barcode with information obtained by RGB imaging system or applying image recognition techniques, this inherent property based labeling system will facilitate fundamental research and business opportunities.