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3 October 2024 Full-angle projection tomography with AI-enhanced fibre optics rotation: from cells to organoids
David Krause, Jiawei Sun, Nektarios Koukourakis, Jürgen Czarske
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Proceedings Volume PC13112, Optical Trapping and Optical Micromanipulation XXI; PC131120M (2024) https://doi.org/10.1117/12.3028928
Event: Nanoscience + Engineering, 2024, San Diego, California, United States
Abstract
Optical diffraction tomography (ODT) is a valuable imaging technique in biomedicine, particularly for live cell and tissue studies, offering insights into cellular structures via refractive index assessment. However, traditional methods face limitations in scanning ranges, affecting resolution and imaging completeness. To address this, a compact multi-core fiber-optic system enables precise cell rotation within microfluidic chips, enhancing tomography resolution. Introducing an AI-driven reconstruction workflow promises automation and efficiency. Validation through phantom and cancer cell reconstructions showcases performance. Yet, ODT is hindered by weak scattering sample requirements, limiting its applicability to shallow single cells. A novel algorithm addresses this for thicker samples like C. Elegans, albeit with spatial resolution constraints. Combining this algorithm with the cell rotation system could revolutionize applications in flow cytometry and acoustic rotation tomography.
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David Krause, Jiawei Sun, Nektarios Koukourakis, and Jürgen Czarske "Full-angle projection tomography with AI-enhanced fibre optics rotation: from cells to organoids", Proc. SPIE PC13112, Optical Trapping and Optical Micromanipulation XXI, PC131120M (3 October 2024); https://doi.org/10.1117/12.3028928
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KEYWORDS
Tomography
Fiber optics
Biological samples
Biomedical optics
Optical tomography
Reconstruction algorithms
Scattering
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