Detection of nervous system in gastrointestinal wall using Raman spectroscopy (Conference Presentation)

Intraoperative tissue identification for gastrointestinal disorder by Raman spectroscopy and machine learning

“…Hirschsprung disease (HSCR) is a congenital condition characterized by the absence of nerve cells (aganglionosis) in a segment of the intestine. In our previous works, label-free detection of the ganglion cells between the inner circular muscle and outer longitudinal muscle was successfully demonstrated on Raman microscopic analysis [4][5] . However, precise detection of the ganglion cells on intact tissue is still challenging, we thus aimed to reveal the Raman spectral features of the mucosal layer in aganglionosis and to identify the aganglionosis segment by employing machine learning to make a precise diagnosis of HSCR.…”

Optical biopsy technique for detection of aganglionosis in Hirschsprung disease by Raman spectroscopy combined with deep learning

“…Raman spectroscopy is potentially useful as a label-free detection method for intraoperative pathological diagnostics. In our previous works, the Raman spectra of each layer of the gastrointestinal wall, the mucosa, submucosa, musclaris propria, and serosa of human rectal wall characterized, and label-free detection of the ganglion cells between the inner circular muscle and outer longitudinal muscle was successfully demonstrated on Raman microscopic analysis 1,2 . On the other hand, the microscopic approach is currently limited by its narrow measurement range and its ability to measure only the surface of tissues, mucosa or serosa.…”