Rapid, label-free detection of colorectal cancer with an aberration-free line scanning confocal Raman imager

A self-developed aberration-free line scanning confocal Raman imager (AFLSCRI) with a spectral resolution of 0.12 nm and a spatial resolution of 2 μm is utilized to diagnose colorectal cancer. The tissues were categorized into four subgroups (typical tissue, lipid-rich tissue, fat-rich tissue, and collagen-rich tissue) and were successfully distinguished with our Raman imaging results. Compared to traditional point-scanning Raman spectroscopy, this imager offers a much faster speed with high spectral resolution while maintaining a similar spatial resolution. The Raman spectroscopy results of the same sample of colorectal cancer remain stable and unaffected even measured after six months. The molecular composition of the tissues was analyzed, and potential biomarkers such as carotenoids and protein structures were identified for four different types of colorectal tissues. When combined with machine learning algorithms, an accuracy of 92.8% was achieved in identifying 14 pairs of normal/cancer samples. These results highlight the great potential of the AFLSCRI in label-free, rapid, and non-invasive medical diagnosis.

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Publication Details

Journal
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
Published
2025-04-12
DOI
https://doi.org/10.1016/j.saa.2025.126182
Citations
2
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
3.27

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article

Rapid, label-free detection of colorectal cancer with an aberration-free line scanning confocal Raman imager

Changwei Jiao, Junxue Li, Sailing He, Mo Chen et al.
2 citations
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
article

Rapid, label-free detection of colorectal cancer with an aberration-free line scanning confocal Raman imager

Changwei Jiao, Junxue Li, Sailing He, Mo Chen, Ruili Zhang, Jiaqi Liao
article en
2 citations

Abstract

A self-developed aberration-free line scanning confocal Raman imager (AFLSCRI) with a spectral resolution of 0.12 nm and a spatial resolution of 2 μm is utilized to diagnose colorectal cancer. The tissues were categorized into four subgroups (typical tissue, lipid-rich tissue, fat-rich tissue, and collagen-rich tissue) and were successfully distinguished with our Raman imaging results. Compared to traditional point-scanning Raman spectroscopy, this imager offers a much faster speed with high spectral resolution while maintaining a similar spatial resolution. The Raman spectroscopy results of the same sample of colorectal cancer remain stable and unaffected even measured after six months. The molecular composition of the tissues was analyzed, and potential biomarkers such as carotenoids and protein structures were identified for four different types of colorectal tissues. When combined with machine learning algorithms, an accuracy of 92.8% was achieved in identifying 14 pairs of normal/cancer samples. These results highlight the great potential of the AFLSCRI in label-free, rapid, and non-invasive medical diagnosis.

Spectrochimica Acta Part A Molecular and Biomolecular SpectroscopyVol. 339
Wenzhou Medical University (CN), Zhejiang Lab (CN), Taizhou Central Hospital (CN), Zhejiang Taizhou Hospital (CN), Zhejiang University (CN), Taizhou University (CN)
Science and Technology Department of Zhejiang Province
Good health and well-being
Openalex Percentile: Top 9%
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
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