Wide-field multiphoton imaging with TRAFIX
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Optical approaches have broadened their impact in recent years with innovations in both wide-field and super-resolution imaging, which now underpin biological and medical sciences. Whilst these advances have been remarkable, to date, the ongoing challenge in optical imaging is to penetrate deeper. TRAFIX is an innovative approach that combines temporal focusing illumination with single-pixel detection to obtain wide-field multiphoton images of fluorescent microscopic samples deep through scattering media without correction. It has been shown that it can image through biological samples such as rat brain or human colon tissue up to a depth of seven scattering mean-free-path lengths. Comparisons of TRAFIX with standard point-scanning two-photon microscopy show that the former can yield a five-fold higher signal-to-background ratio while signifcantly reducing photo bleaching of the specimen. Here, we show the first preliminary demonstration of TRAFIX with three-photon excitation imaging dielectric beads. We discuss the advantages of the TRAFIX approach combined with compressive sensing for biomedicine.
Escobet-Montalbán , A , Wijesinghe , P , Chen , M & Dholakia , K 2019 , Wide-field multiphoton imaging with TRAFIX . in A Periasamy , P T C So & K König (eds) , Multiphoton Microscopy in the Biomedical Sciences XIX . , 10882G , Proceedings of SPIE , vol. 10882 , Society of Photo-Optical Instrumentation Engineers , pp. 49 , Multiphoton Microscopy in the Biomedical Sciences XIX , San Francisco , United States , 2/02/19 . https://doi.org/10.1117/12.2508373conference
Multiphoton Microscopy in the Biomedical Sciences XIX
© 2019, SPIE. This work has been made available online in accordance with the publisher's policies. This is the final published version of the work, which was originally published at https://doi.org/10.1117/12.2508373
DescriptionThis work is supported by the UK Engineering and Physical Sciences Research Council for funding through grants EP/P030017/1 and EP/M000869/1, and has received funding from the European Union's Horizon 2020 Programme through the project Advanced BiomEdical OPTICAL Imaging and Data Analysis (BE-OPTICAL) under grant agreement no. 675512.
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