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Published on: September 22, 2013
Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images
Siqi Zhu1, Kang Su1, Yumeng Liu1
1Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University, Guangzhou, Guangdong 510632, China ; Department of Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong 510632, China.
Abstract:
We construct a microscopic hyperspectral imaging system to distinguish between normal and cancerous gastric cells. We study common transmission-spectra features that only emerge when the samples are dyed with hematoxylin and eosin (H&E) stain. Subsequently, we classify the obtained visible-range transmission spectra of the samples into three zones. Distinct features are observed in the spectral responses between the normal and cancerous cell nuclei in each zone, which depend on the pH level of the cell nucleus. Cancerous gastric cells are precisely identified according to these features. The average cancer-cell identification accuracy obtained with a backpropagation algorithm program trained with these features is 95%.
