Evaluation of Mobile Phone Performance for Near-Infrared Fluorescence Imaging.

Area of Science:

• Biomedical Imaging
• Optical Diagnostics
• Mobile Health Technology

Background:

• Near-infrared (NIR) fluorescence imaging offers deep tissue penetration and high contrast.
• Developing portable and cost-effective imaging solutions is crucial for widespread clinical adoption.
• Mobile phone platforms present a unique opportunity for accessible diagnostic tools.

Purpose of the Study:

• To evaluate the feasibility of using a mobile phone as a platform for contrast-enhanced NIR fluorescence imaging of tissue.
• To assess the performance and image quality of a phone-based imaging system compared to traditional cameras.
• To identify key parameters influencing imaging performance, such as wavelength and image processing.

Main Methods:

• Utilized both charge-coupled device (CCD) and mobile phone cameras for imaging.
• Employed molded and 3D-printed tissue phantoms for controlled experiments.
• Conducted imaging experiments on an ex vivo animal model to assess real-world applicability.

Main Results:

• Demonstrated the viability of mobile phone-based NIR fluorescence imaging for tissue.
• Quantitative and qualitative analyses confirmed acceptable image quality.
• Identified performance variations linked to specific wavelengths, pixel color selection, and image processing techniques.

Conclusions:

• Mobile phone-based NIR fluorescence imaging is a practical approach for enhanced tissue visualization.
• The system's performance can be optimized by careful selection of imaging parameters.
• This technology holds potential for developing affordable, point-of-care diagnostic devices.