ArticleScientific reports2017
Comparison of multivariate analysis methods for extracting the paraffin component from the paraffin-embedded cancer tissue spectra for Raman imaging.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 63 citations in OpenAlex.
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- Label-free differentiation of functional zones in mature mouse placenta using micro-Raman imaging.Biomedical optics express · 2024Article
- Vibrational spectroscopy - are we close to finding a solution for early pancreatic cancer diagnosis?World journal of gastroenterology · 2023Review
- Rapid multi-task diagnosis of oral cancer leveraging fiber-optic Raman spectroscopy and deep learning algorithms.Frontiers in oncology · 2023Article
- Towards Automated Classification of Zooplankton Using Combination of Laser Spectral Techniques and Advanced Chemometrics.Sensors (Basel, Switzerland) · 2022Article
- Current Pathology Model of Pancreatic Cancer.Cancers · 2022Review
- A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance.Cancers · 2021Review
- Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.Scientific reports · 2021Article
- Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues.Scientific reports · 2021Article
- Pilot study on the value of Raman spectroscopy in the entity assignment of salivary gland tumors.PloS one · 2021Article
- Discrimination of grass pollen of different species by FTIR spectroscopy of individual pollen grains.Analytical and bioanalytical chemistry · 2020Article
- The Spectroscopic Similarity between Breast Cancer Tissues and Lymph Nodes Obtained from Patients with and without Recurrence: A Preliminary Study.Molecules (Basel, Switzerland) · 2020Article
- Tutorial: multivariate classification for vibrational spectroscopy in biological samples.Nature protocols · 2020Review
- Rapid and complete paraffin removal from human tissue sections delivers enhanced Raman spectroscopic and histopathological analysis.The Analyst · 2020Article
- Data mining in Raman imaging in a cellular biological system.Computational and structural biotechnology journal · 2020Review
- Raman Spectroscopy for Rapid Evaluation of Surgical Margins during Breast Cancer Lumpectomy.Scientific reports · 2019Article
- Raman-Enhanced Spectroscopy Distinguishes Anal Squamous Intraepithelial Lesions in Human Immunodeficiency Virus-Serodiscordant Couples.AIDS research and human retroviruses · 2019Article
- Research on a Mixed Gas Recognition and Concentration Detection Algorithm Based on a Metal Oxide Semiconductor Olfactory System Sensor Array.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to extract the paraffin component from paraffin-embedded oral cancer tissue spectra using three multivariate analysis (MVA) methods; Independent Component Analysis (ICA), Partial Least Squares (PLS) and Independent Component - Partial Least Square (IC-PLS). The estimated paraffin components were used for removing the contribution of paraffin from the tissue spectra. These three methods were compared in terms of the efficiency of paraffin removal and the ability to retain the tissue information. It was found that ICA, PLS and IC-PLS could remove the paraffin component from the spectra at almost the same level while Principal Component Analysis (PCA) was incapable. In terms of retaining cancer tissue spectral integrity, effects of PLS and IC-PLS on the non-paraffin region were significantly less than that of ICA where cancer tissue spectral areas were deteriorated. The paraffin-removed spectra were used for constructing Raman images of oral cancer tissue and compared with Hematoxylin and Eosin (H&E) stained tissues for verification. This study has demonstrated the capability of Raman spectroscopy together with multivariate analysis methods as a diagnostic tool for the paraffin-embedded tissue section.
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