ArticleBiomedical optics express2015
Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images.
Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral Imaging of Whole-Cell Region for Differentiating Cervical Squamous Intraepithelial Lesion Cytology.Cancer medicine · 2026Article
- Improving lung cancer pathological hyperspectral diagnosis through cell-level annotation refinement.Scientific reports · 2025Article
- Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis.Sensors (Basel, Switzerland) · 2022Article
- Membranous nephropathy classification using microscopic hyperspectral imaging and tensor patch-based discriminative linear regression.Biomedical optics express · 2021Article
- Transmissive Single-Pixel Microscopic Imaging through Scattering Media.Sensors (Basel, Switzerland) · 2021Article
- Hyperspectral microscopy combined with DAPI staining for the identification of hepatic carcinoma cells.Biomedical optics express · 2021Article
- Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging.Sensors (Basel, Switzerland) · 2019Article
- Tumor tissue classification based on micro-hyperspectral technology and deep learning.Biomedical optics express · 2019Article
- Aggregation-induced heterogeneities in the emission of upconverting nanoparticles at the submicron scale unfolded by hyperspectral microscopy.Nanoscale advances · 2019Article
- In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.Cancers · 2019Review
- Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some⁻Different⁻Light into the Dark.Journal of clinical medicine · 2019Review
- Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi.Biomedical optics express · 2018Article
- Diagnosis of dermatophytosis using single fungus endogenous fluorescence spectrometry.Biomedical optics express · 2018Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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%.
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