Presentation
5 October 2023 3D cell rotation in multicore fiber-based optical diffraction tomography with isotropic resolution using deep learning
Author Affiliations +
Abstract
We introduce an innovative fiber-optic trapping system that utilizes multicore fibers to enable precise control of cell rotation about all three axes. This is achieved through the development of a physics-informed neural network that generates tailored light fields in the trapping region via the multicore fiber, allowing real-time control of the optical force. Our system facilitates precise and controlled cell rotation in all three axes, making it possible to capture projections of the cell at various angles. By leveraging this capability, our system enables accurate three-dimensional optical diffraction tomography with isotropic resolution. Overall, our fiber-optic trapping system offers a promising solution for high-precision cellular imaging and analysis, with significant potential applications in various fields, including biomedicine and nanotechnology.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiawei Sun, Nektarios Koukourakis, and Juergen W. Czarske "3D cell rotation in multicore fiber-based optical diffraction tomography with isotropic resolution using deep learning", Proc. SPIE PC12649, Optical Trapping and Optical Micromanipulation XX, PC126490R (5 October 2023); https://doi.org/10.1117/12.2676123
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KEYWORDS
Phased array optics

Multicore fiber

Diffraction

Optical tomography

Deep learning

Computer generated holography

Digital holography

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