Fast, multicolour optical sectioning over extended fields of view with patterned illumination and machine learning.

Autor:	Ward EN; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., McClelland RM; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Lamb JR; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Rubio-Sánchez R; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK.; fabriCELL, Molecular Sciences Research Hub, Imperial College London, London, W12 0BZ, UK., Christensen CN; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Mazumder B; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Kapsiani S; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Mascheroni L; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Di Michele L; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK.; fabriCELL, Molecular Sciences Research Hub, Imperial College London, London, W12 0BZ, UK., Kaminski Schierle GS; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK., Kaminski CF; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK.
Jazyk:	angličtina
Zdroj:	Biomedical optics express [Biomed Opt Express] 2024 Jan 25; Vol. 15 (2), pp. 1074-1088. Date of Electronic Publication: 2024 Jan 25 (Print Publication: 2024).
DOI:	10.1364/BOE.510912
Abstrakt:	Structured illumination can reject out-of-focus signal from a sample, enabling high-speed and high-contrast imaging over large areas with widefield detection optics. However, this optical sectioning technique is currently limited by image reconstruction artefacts and poor performance at low signal-to-noise ratios. We combine multicolour interferometric pattern generation with machine learning to achieve high-contrast, real-time reconstruction of image data that is robust to background noise and sample motion. We validate the method in silico and demonstrate imaging of diverse specimens, from fixed and live biological samples to synthetic biosystems, reconstructing data live at 11 Hz across a 44 × 44 μm 2 field of view, and demonstrate image acquisition speeds exceeding 154 Hz. Competing Interests: The authors declare no conflicts of interest. (© 2024 The Author(s).)
Databáze:	MEDLINE
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