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Updated: Feb 1, 2026

In vivo Imaging Method to Distinguish Acute and Chronic Inflammation
Published on: August 16, 2013
Second-harmonic generation imaging analysis can help distinguish sarcoidosis from tuberculoid leprosy
Fabiane Leonel Utino1,2, Marina Garcia1, Paulo Eduardo Neves Ferreira Velho2
1University of Campinas, Department of Pathology, Campinas, Brazil.
Second-harmonic generation (SHG) microscopy can help differentiate sarcoidosis and tuberculoid leprosy (TL) by analyzing collagen networks. While SHG contrast showed statistical significance, combining it with histopathology offers better diagnostic potential for granulomatous skin diseases.
Area of Science:
- Dermatology
- Biophysics
- Medical Imaging
Background:
- Sarcoidosis and tuberculoid leprosy (TL) are granulomatous inflammatory skin diseases that can be challenging to distinguish using traditional histopathology.
- Nonlinear optical microscopy, specifically second-harmonic generation (SHG) imaging, offers advanced capabilities for analyzing the physical and biochemical properties of skin.
- SHG microscopy visualizes collagen, a key component of the skin's extracellular matrix, which may exhibit altered organization in different granulomatous conditions.
Purpose of the Study:
- To investigate the potential of SHG imaging combined with statistical analysis to differentiate between sarcoidosis and TL granulomas.
- To analyze the collagen network structure in skin biopsies from patients with sarcoidosis and TL using SHG microscopy.
- To evaluate the efficacy of first-order statistics (FOS) and gray-level co-occurrence matrix (GLCM) parameters derived from SHG images in distinguishing these two diseases.
Main Methods:
- Retrospective analysis of SHG images from skin biopsies of 33 patients with TL and 24 patients with sarcoidosis.
- Quantitative analysis of collagen networks using FOS and GLCM parameters, including optical density, entropy, contrast, and second angular moment.
- Statistical comparison of SHG-derived parameters between sarcoidosis and TL groups.
Main Results:
- The contrast parameter derived from SHG images was significantly higher in sarcoidosis compared to TL (p=0.02; 4908.31 vs. 2822.17).
- Most individual FOS and GLCM parameters showed insufficient differentiating power when used alone to classify sarcoidosis and TL granulomas.
- SHG analysis, particularly the contrast parameter, showed potential as a complementary tool alongside conventional histopathology.
Conclusions:
- SHG imaging, especially when analyzing collagen network contrast, can aid in distinguishing between sarcoidosis and TL.
- The combination of SHG analysis with established histopathological methods (H&E, silver, fast acid stains) enhances diagnostic accuracy for granulomatous skin diseases.
- This study highlights the utility of SHG microscopy in evaluating collagen distribution within granulomatous conditions, offering a novel approach to differential diagnosis.
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