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Updated: Apr 14, 2026

Near Infrared Photoimmunotherapy for Mouse Models of Pleural Dissemination
Published on: February 9, 2021
High dynamic range shortwave infrared imaging of mice with an InGaAs camera
Amish Patel1,2, Xingjian Zhong1,2, Mallory Moffett2
1Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States.
This study introduces a high dynamic range (HDR) imaging method for shortwave infrared (SWIR) applications, enhancing quantitative fluorescence analysis in preclinical research. The new technique improves imaging across wide intensity ranges, overcoming limitations of current cameras.
Area of Science:
- Biomedical Imaging
- Optical Engineering
- Preclinical Research
Background:
- Shortwave infrared (SWIR) imaging offers deep tissue penetration and low autofluorescence for preclinical studies.
- InGaAs cameras used in SWIR imaging have limited dynamic range (DR), restricting the analysis of fluorescence intensity.
- This limitation forces researchers to choose between imaging bright or dim features, hindering comprehensive quantitative analysis.
Purpose of the Study:
- To develop a high dynamic range (HDR) imaging method tailored for InGaAs detectors in SWIR applications.
- To enable quantitative fluorescence imaging across a broad spectrum of intensity levels.
- To overcome the dynamic range limitations of current SWIR cameras for enhanced preclinical imaging.
Main Methods:
- Adapted classical HDR algorithms for InGaAs detectors, incorporating exposure-time-dependent dark current subtraction.
- Implemented preprocessing steps to remove saturated and noisy pixels before camera response function recovery.
- Utilized dynamic weighting range adjustment to manage intensity variations across different exposure times.
- Validated the method using indocyanine green and SWIR-emitting quantum dots in mouse models.
Main Results:
- Achieved a 22-dB improvement in dynamic range compared to single exposures.
- Enabled simultaneous quantification of fluorophore concentrations spanning over three orders of magnitude.
- Demonstrated enhanced contrast-to-noise ratios across all anatomical features in vivo.
- Showcased improved vascular contrast while maintaining quantitative accuracy in preclinical studies.
Conclusions:
- The developed software-based HDR SWIR imaging method significantly enhances preclinical imaging workflows.
- It eliminates the need for exposure parameter optimization, allowing rapid processing of data.
- Enables comprehensive biodistribution analysis from a single acquisition sequence with preserved quantitative accuracy.
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