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Mouse colorectal cancer an early detection approach using nonlinear microscopy
Mariana Bianchi1, Javier Adur2, Silvana Y Ruff1
1Microscopy Laboratory Applied to Molecular and Cellular Studies, Engineering School, National University of Entre Rios, (3101) Oro Verde, Entre Rios, Argentina.
Bio-Medical Materials and Engineering
|September 18, 2014
Summary
Second Harmonic Generation (SHG) microscopy effectively detects early colon cancer changes by analyzing collagen fiber alterations in the submucosa. This quantitative imaging method reveals significant differences in cancer progression, aiding early diagnosis.
Area of Science:
- Biomedical Optics
- Cancer Research
- Microscopy Imaging
Background:
- Early detection of colon cancer is crucial for effective treatment.
- Subtle changes in colon mucosa precede macroscopic tumor formation.
- Quantitative imaging techniques can potentially identify these early pathological alterations.
Purpose of the Study:
- To evaluate the utility of Second Harmonic Generation (SHG) microscopy combined with Two-Photon Excitation Fluorescence (TPEF) for detecting early colon cancer.
- To quantitatively assess changes in submucosal collagen during cancer development.
- To establish SHG microscopy as a tool for staging colon cancer progression.
Main Methods:
- Induced colon cancer in murine models.
- Utilized SHG microscopy and TPEF imaging to visualize colon tissue.
- Applied image analysis for quantitative scoring (Integrated Intensity, Aspect Ratio) of submucosal collagen.
- Compared data from cancer-induced samples with control samples at 4 and 8 weeks.
Main Results:
- SHG microscopy successfully distinguished early colon cancer alterations.
- TPEF identified crypts and submucosa; SHG provided quantitative collagen data.
- Significant changes in submucosal collagen amount and orientation correlated with cancer progression.
- Quantitative scores (Integrated Intensity, Aspect Ratio) showed statistically significant differences in induced cancer samples.
Conclusions:
- SHG microscopy is a valuable quantitative tool for identifying early submucosal changes in colon cancer.
- The technique allows for the assessment of collagen fiber alterations throughout cancer development.
- This imaging approach aids in understanding and potentially diagnosing colon cancer progression at early stages.
