AI-driven projection tomography with multicore fibre-optic cell rotation.

Autor: Sun J; Shanghai Artificial Intelligence Laboratory, Longwen Road 129, Xuhui District, 200232, Shanghai, China. sunjiawei1@pjlab.org.cn.; Competence Center for Biomedical Computational Laser Systems (BIOLAS), TU Dresden, Helmholtzstrasse 18, 01069, Dresden, Germany. sunjiawei1@pjlab.org.cn.; Laboratory of Measurement and Sensor System Technique (MST), TU Dresden, Dresden, Germany. sunjiawei1@pjlab.org.cn., Yang B; Laboratory of Measurement and Sensor System Technique (MST), TU Dresden, Dresden, Germany., Koukourakis N; Competence Center for Biomedical Computational Laser Systems (BIOLAS), TU Dresden, Helmholtzstrasse 18, 01069, Dresden, Germany.; Laboratory of Measurement and Sensor System Technique (MST), TU Dresden, Dresden, Germany., Guck J; Max Planck Institute for the Science of Light & Max Planck-Zentrum für Physik und Medizin, 91058, Erlangen, Germany., Czarske JW; Competence Center for Biomedical Computational Laser Systems (BIOLAS), TU Dresden, Helmholtzstrasse 18, 01069, Dresden, Germany. juergen.czarske@tu-dresden.de.; Laboratory of Measurement and Sensor System Technique (MST), TU Dresden, Dresden, Germany. juergen.czarske@tu-dresden.de.; Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany. juergen.czarske@tu-dresden.de.; Institute of Applied Physics, TU Dresden, Dresden, Germany. juergen.czarske@tu-dresden.de.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2024 Jan 02; Vol. 15 (1), pp. 147. Date of Electronic Publication: 2024 Jan 02.
DOI: 10.1038/s41467-023-44280-1
Abstrakt: Optical tomography has emerged as a non-invasive imaging method, providing three-dimensional insights into subcellular structures and thereby enabling a deeper understanding of cellular functions, interactions, and processes. Conventional optical tomography methods are constrained by a limited illumination scanning range, leading to anisotropic resolution and incomplete imaging of cellular structures. To overcome this problem, we employ a compact multi-core fibre-optic cell rotator system that facilitates precise optical manipulation of cells within a microfluidic chip, achieving full-angle projection tomography with isotropic resolution. Moreover, we demonstrate an AI-driven tomographic reconstruction workflow, which can be a paradigm shift from conventional computational methods, often demanding manual processing, to a fully autonomous process. The performance of the proposed cell rotation tomography approach is validated through the three-dimensional reconstruction of cell phantoms and HL60 human cancer cells. The versatility of this learning-based tomographic reconstruction workflow paves the way for its broad application across diverse tomographic imaging modalities, including but not limited to flow cytometry tomography and acoustic rotation tomography. Therefore, this AI-driven approach can propel advancements in cell biology, aiding in the inception of pioneering therapeutics, and augmenting early-stage cancer diagnostics.
(© 2024. The Author(s).)
Databáze: MEDLINE
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