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Light is incredible. For imaging, the field of biophotonics has made astonishing advances in the last few decades due to the fact we can extract intricate knowledge of the sample, namely its morphology, molecular composition and metabolism. A prominent outcome is the 2014 Nobel Prize in Chemistry that acknowledged one of the most momentous physics developments for imaging – surpassing the spatial resolution barrier. Whilst today an impressive array of optical modalities exist and are used extensively, it is also recognised that a key barrier to optical imaging is the limited penetration depth maintaining high resolution
Current all optical imaging may fail to capture high spatial resolution at significant depth. The depth of penetration for light in biological tissues and materials is limited by attenuation due to scattering and absorption. Depth may be a challenging parameter to quantify as it is highly dependent on the characteristic of the cell/tissue type and level of scattering that is present. As such quoting a distance may not always be helpful and one should also consider scattering lengths.
In this talk I will describe approaches that push the use of light further in depth and allow us to gain wide fields of view with high resolution. In particular I will describe the use of shaped light in the form of propagation invariant light beams as well as the use of temporal focusing with single pixel detection. Finally progress in using more advance computational approaches such as deep learning to recover faithful images will be discussed
Kishan Dholakia
"Shaping the future of biomedical imaging", Proc. SPIE 11786, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V, 1178617 (20 June 2021); https://doi.org/10.1117/12.2596036
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Kishan Dholakia, "Shaping the future of biomedical imaging," Proc. SPIE 11786, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V, 1178617 (20 June 2021); https://doi.org/10.1117/12.2596036