Related Experiment Video
Updated: Jun 18, 2026
10:39
Advanced Imaging of Lung Homing Human Lymphocytes in an Experimental In Vivo Model of Allergic Inflammation Based on Light-sheet Microscopy
Published on: April 16, 2019
Characterization of lung tissues using liquid-crystal tunable filter and hyperspectral imaging system
1Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA. jong@temple.edu
Summary
A novel hyperspectral imaging system effectively distinguishes emphysematous lung tissue from healthy tissue. This technology offers a new method for characterizing lung tissue during surgery.
Area of Science:
- Medical imaging
- Biomedical optics
- Pulmonary medicine
Background:
- Emphysema detection is crucial for lung volume reduction surgery (LVRS).
- Current methods for intraoperative tissue characterization have limitations.
- Hyperspectral imaging (HSI) offers potential for non-invasive tissue analysis.
Purpose of the Study:
- To develop and evaluate a hyperspectral imaging system for characterizing lung tissue.
- To differentiate between healthy and emphysematous lung tissue using spectral signatures.
Main Methods:
- Development of an HSI system with a charge-coupled device and liquid crystal tunable filter.
- Acquisition of spectral data in the near-infrared range (650-1100 nm).
- Comparison of spectral signatures between healthy and simulated emphysematous (smoker's) lung tissue.
Main Results:
- Identified peak absorption intensities at specific wavelengths (760, 805, 915, 970 nm).
- Observed significantly higher reflectance intensity in simulated smoker's lung tissue compared to normal lung tissue across the spectral range.
- Spectral differences provide a basis for emphysema detection.
Conclusions:
- The developed HSI system can characterize lung tissue.
- Spectral differences detected by HSI can distinguish emphysematous tissue from healthy tissue.
- This technology shows promise for improving intraoperative assessment during LVRS.
