Presentation + Paper
8 February 2017 Through-skull vasculature assessment using fluorescence brain imaging on murine models at around 800 nm
Hanh N. D. Le, Yung-Tian A. Gau, Arman Rahmim, Dean F. Wong, Dwight E. Bergles, Jin U. Kang
Author Affiliations +
Proceedings Volume 10051, Neural Imaging and Sensing; 100510M (2017) https://doi.org/10.1117/12.2250240
Event: SPIE BiOS, 2017, San Francisco, California, United States
Abstract
We describe a scanning near-infrared fluorescence imager for through-skull non-invasive brain imaging on live murine models. The captured photoluminescence feature through scattering media was enhanced using a high sensitivity scientific CMOS sensor with the obtained spatial resolution of 15.63 μm, depth of field of 5 mm and an average local signal-to-noise ratio of 37.5 dB.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanh N. D. Le, Yung-Tian A. Gau, Arman Rahmim, Dean F. Wong, Dwight E. Bergles, and Jin U. Kang "Through-skull vasculature assessment using fluorescence brain imaging on murine models at around 800 nm", Proc. SPIE 10051, Neural Imaging and Sensing, 100510M (8 February 2017); https://doi.org/10.1117/12.2250240
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Luminescence

Brain imaging

Signal to noise ratio

Imaging systems

Bone

CMOS sensors

Skull

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