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Proceedings Paper

Deep tissue focusing based on machine learning
Author(s): Ke Si; Yiye Zhang; Yuncheng Jin; Lejia Hu; Wei Gong
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Paper Abstract

Non-invasive deep tissue imaging and focusing is highly demanded in biomedical research. However, for in vivo applications, the major challenge is the limited imaging depth, a of random scattering in biological tissue causing exponential attenuation of the ballistic component the light wave. Here we present the optical focusing with diffraction-limited resolution deep inside highly scattering media by using machine learning. Compared with conventional adaptive optics, method can not only provide high-speed sensor-less wavefront measurement with more than 90% accuracy, but also dramatically reduce photobleaching and photodamage. This technology paves the way for many important applications in fundamental biology research, especially in neuroscience.

Paper Details

Date Published: 12 March 2019
PDF: 4 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102340 (12 March 2019); doi: 10.1117/12.2518111
Show Author Affiliations
Ke Si, Zhejiang Univ. (China)
Yiye Zhang, Zhejiang Univ. (China)
Yuncheng Jin, Zhejiang Univ. (China)
Lejia Hu, Zhejiang Univ. (China)
Wei Gong, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

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