Multiparametric optimization of multispectral optoacoustic tomography for deep tissue imaging

Jürgen Glatz; Nikolaos C. Deliolanis; Lu Ding; Adrian Taruttis; Amir Rosenthal; Ralf Schulz; Daniel Razansky; Vasilis Ntziachristos

doi:10.1117/12.842101

23 February 2010 Multiparametric optimization of multispectral optoacoustic tomography for deep tissue imaging

Jürgen Glatz, Nikolaos C. Deliolanis, Lu Ding, Adrian Taruttis, Amir Rosenthal, Ralf Schulz, Daniel Razansky, Vasilis Ntziachristos

Author Affiliations +

Proceedings Volume 7564, Photons Plus Ultrasound: Imaging and Sensing 2010; 75642Z (2010) https://doi.org/10.1117/12.842101
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

Over the last decade fluorescent reporter technologies (both fluorescent probes and proteins) have become a very powerful imaging tool in everyday biomedical research. Multispectral optoacoustic tomography (MSOT) is an emerging imaging technology that can resolve fluorophore concentration in small animals situated in deep tissue by multispectral acquisition and processing of optoacoustic signals. In this work, we study the optimum operating conditions of MSOT in imaging fluorescence activity in small animals. The performance of various fluorochromes / fluorescent proteins is examined and it is shown that the new infrared fluorescent protein is an order of magnitude brighter than the red ones. Finally, wavelength reduction after principle component analysis shows, that accurate unmixing and 3D reconstruction of the distribution of fluorochromes is possible only with 2 or 3 wavelengths.

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Jürgen Glatz, Nikolaos C. Deliolanis, Lu Ding, Adrian Taruttis, Amir Rosenthal, Ralf Schulz, Daniel Razansky, and Vasilis Ntziachristos "Multiparametric optimization of multispectral optoacoustic tomography for deep tissue imaging", Proc. SPIE 7564, Photons Plus Ultrasound: Imaging and Sensing 2010, 75642Z (23 February 2010); https://doi.org/10.1117/12.842101

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