TAU Seminar of
Ori Katz
The Hebrew Universitry of Jerusalem
Co-sponsored by: Tel Aviv University
Speaker(s): Ori Katz,
Agenda:
Scattering of light in complex samples such as biological tissue renders most samples opaque to conventional optical imaging techniques, a problem of great practical importance . However, although random, scattering of coherent light generates speckle patterns with universal statistics and angular and spatial correlations, that allow computational retrieval of diffraction-limited imaging . Furthermore, the random temporal fluctuations of speckle patterns, formed by light propagation in dynamic samples, can be exploited for super-resolution photo-acoustic and acousto-optic imaging, deep inside scattering samples .
I will present the fundamental principles and limitations of these novel approaches, as well as some of our recent efforts in utilizing these new insights for the development of novel endoscopic techniques .
References
Z. Merali, Optics: Super vision, Nature 518, 158 (2015).
O. Katz et al. Non-invasive single-shot imaging through scattering layers and around corners via speckle
correlations. Nature photonics, 8(10), 784-790 (2014).
T. Yeminy, O. Katz, Guidestar-free image-guided wavefront shaping, Science Advances, 7, 21 (2021).
T. Chaigne et al. Super-resolution photoacoustic fluctuation imaging with multiple speckle illumination, Optica
3 (1), 54-57 (2016).
E. Hojman et al. Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination
and sparse joint support recovery, Optics Express 25 (5), 4875-4886 (2016).
D. Doktofsky et al. Acousto optic imaging beyond the acoustic diffraction limit using speckle decorrelation,
Communications Physics 3 (1), 1-8 (2020).
M. Rosenfeld, D. Doktofsky, G. Weinberg, Y. Li, L. Tian, O. Katz, Acousto-optic Ptychography,
arXiv:2101.10099 (2021).
N.Shekel et al. Using fiber-bending-generated speckles for improved working distance and background rejection
in lensless micro-endoscopy, Optics Letters 45 (15), 4288-4291 (2020).
Virtual: https://events.vtools.ieee.org/m/283061