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We demonstrate a multi-core fiber (MCF)-based optical trap that enables dynamically controlled rotation of cancer cells around all 3D axes for optical diffraction tomography with high spatiotemporal resolution. We introduce a novel deep neural network to accelerate the tailored hologram and enable the generation of complex light fields near the video rate in the high-fidelity capture region. The flexibility of fiber optic manipulation of multi-axis cell rotations opens up new applications for 3D refractive index reconstruction. Deep neural networks bring the MCF-based optical manipulation system to the next level of freedom and open new perspectives for non-contact cellular studies.
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Jiawei Sun, Nektarios Koukourakis, Jürgen W. Czarske, "3D cell-rotation using multi-core fiber-based lab-on-a-chip for optical tomography," Proc. SPIE PC12198, Optical Trapping and Optical Micromanipulation XIX, PC1219808 (3 October 2022); https://doi.org/10.1117/12.2633783