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Updated: May 12, 2026
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In vivo Imaging of Biological Tissues with Combined Two-Photon Fluorescence and Stimulated Raman Scattering Microscopy
Published on: December 20, 2021
Biophotonics techniques for structural and functional imaging, in vivo.
Yasaman Ardeshirpour1, Amir H Gandjbakhche, Laleh Najafizadeh
1Section on Functional and Analytical Biophotonics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Studies in Health Technology and Informatics
|April 2, 2013
Summary
Optical imaging techniques like diffuse optical and fluorescence imaging are crucial for in vivo applications. These methods show promise in early cancer detection, brain imaging, and monitoring treatment efficacy.
Area of Science:
- Medical imaging
- Biophotonics
- Optical diagnostics
Background:
- In vivo optical imaging is vital for diverse medical applications, including breast cancer detection and functional brain imaging.
- Diffuse optical imaging has shown significant promise in cancer detection and monitoring neoadjuvant chemotherapy over the past 30 years.
- Near-infrared spectroscopy is increasingly utilized for functional brain imaging.
Purpose of the Study:
- To review diffuse optical and fluorescence imaging techniques.
- To highlight their applications in functional brain imaging and cancer diagnosis.
- To discuss the role of these techniques in monitoring targeted cancer therapies.
Main Methods:
- Review of diffuse optical imaging techniques.
- Review of fluorescence imaging techniques, including autofluorescence.
- Discussion of near-infrared spectroscopy applications.
Main Results:
- Diffuse optical imaging demonstrates efficacy in breast cancer detection and chemotherapy monitoring.
- Fluorescence imaging aids in distinguishing malignant lesions and defining tumor borders during surgery.
- Targeted therapies combined with advanced imaging techniques may revolutionize cancer treatment paradigms.
Conclusions:
- Diffuse optical and fluorescence imaging are powerful tools for in vivo medical applications.
- These techniques are essential for advancing cancer diagnosis and therapy monitoring.
- Future applications may extend to characterizing other disease-related biomarkers.
