Full-angle projection tomography with AI-enhanced fibre optics rotation: from cells to organoids

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.