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Drug classification with a spectral barcode obtained with a smartphone Raman spectrometer

Medicine and Health

Drug classification with a spectral barcode obtained with a smartphone Raman spectrometer

U. J. Kim, S. Lee, et al.

Discover how a revolutionary smartphone-based Raman spectrometer is transforming drug classification with an astonishing 99.0% accuracy! This groundbreaking research, conducted by Un Jeong Kim and colleagues, showcases a novel 'spectral barcode' method that even distinguishes between brands, merging cutting-edge technology with practical applications.

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Playback language: English
Abstract
This paper demonstrates drug classification using a smartphone-based Raman spectrometer. A novel "spectral barcode," a 2D Raman spectral intensity map, is generated and analyzed using a convolutional neural network (CNN). The system achieves 99.0% accuracy in classifying 11 major drug components, even distinguishing between brands. The combination of spectral barcodes with RGB imaging further enhances brand identification accuracy.
Publisher
Nature Communications
Published On
Aug 29, 2023
Authors
Un Jeong Kim, Suyeon Lee, Hyochul Kim, Yeongeun Roh, Seungju Han, Hojung Kim, Yeonsang Park, Seokin Kim, Myung Jin Chung, Hyungbin Son, Hyuck Choo
Tags
Raman spectrometer
drug classification
spectral barcode
convolutional neural network
brand identification

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