Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI 2023
DOI: 10.1117/12.2650175
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Optical biopsy technique for detection of aganglionosis in Hirschsprung disease by Raman spectroscopy combined with deep learning

Abstract: In this study, we aimed to develop a new optical biopsy technique for aganglionosis of Hirschsprung disease (HSCR) and we then evaluated a custom designed Raman optical biopsy system combined with deep learning based on convolutional neural networks (CNNs). Surgical specimens of formalin-fixed tissue of HSCR patients were subjected to this study. In the result, we achieved more than 90% classification accuracy between the normal and the lesion segments in mucosa. This study shows that CNN is useful for discrim… Show more

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“…MATERIALS AND METHODSSurgical specimens of formalin-fixed tissue of HSCR patients were subjected to this study. First, the Raman spectral data of the mucosa were comprehensively collected by using a home-built Raman microscopy system6 . In brief, the Raman microscopy system consists of a laser source (785 nm, 08-NLD, Cobolt, Solna, Sweden), a spectrometer (M10-TP, 1200/mm, 850 nm blazed, Bunkoukeiki, Tokyo, Japan), an EM-CCD (iXon3-888, ANDOR TECHNOLOGY, Belfast, UK).…”
mentioning
confidence: 99%
“…MATERIALS AND METHODSSurgical specimens of formalin-fixed tissue of HSCR patients were subjected to this study. First, the Raman spectral data of the mucosa were comprehensively collected by using a home-built Raman microscopy system6 . In brief, the Raman microscopy system consists of a laser source (785 nm, 08-NLD, Cobolt, Solna, Sweden), a spectrometer (M10-TP, 1200/mm, 850 nm blazed, Bunkoukeiki, Tokyo, Japan), an EM-CCD (iXon3-888, ANDOR TECHNOLOGY, Belfast, UK).…”
mentioning
confidence: 99%