Paper
23 February 2012 In vivo imaging of inducible tyrosinase gene expression with an ultrasound array-based photoacoustic system
Tyler Harrison, Robert J. Paproski, Roger J. Zemp
Author Affiliations +
Abstract
Tyrosinase, a key enzyme in the production of melanin, has shown promise as a reporter of genetic activity. While green fluorescent protein has been used extensively in this capacity, it is limited in its ability to provide information deep in tissue at a reasonable resolution. As melanin is a strong absorber of light, it is possible to image gene expression using tyrosinase with photoacoustic imaging technologies, resulting in excellent resolutions at multiple-centimeter depths. While our previous work has focused on creating and imaging MCF-7 cells with doxycycline-controlled tyrosinase expression, we have now established the viability of these cells in a murine model. Using an array-based photoacoustic imaging system with 5 MHz center frequency, we capture interleaved ultrasound and photoacoustic images of tyrosinase-expressing MCF-7 tumors both in a tissue mimicking phantom, and in vivo. Images of both the tyrosinase-expressing tumor and a control tumor are presented as both coregistered ultrasound-photoacoustic B-scan images and 3-dimensional photoacoustic volumes created by mechanically scanning the transducer. We find that the tyrosinase-expressing tumor is visible with a signal level 12dB greater than that of the control tumor in vivo. Phantom studies with excised tumors show that the tyrosinase-expressing tumor is visible at depths in excess of 2cm, and have suggested that our imaging system is sensitive to a transfection rate of less than 1%.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tyler Harrison, Robert J. Paproski, and Roger J. Zemp "In vivo imaging of inducible tyrosinase gene expression with an ultrasound array-based photoacoustic system", Proc. SPIE 8223, Photons Plus Ultrasound: Imaging and Sensing 2012, 82230S (23 February 2012); https://doi.org/10.1117/12.908987
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Tumors

Ultrasonography

Imaging systems

In vivo imaging

Photoacoustic spectroscopy

Photoacoustic imaging

Blood

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