Wide-field multiphoton imaging with TRAFIX

Adrià Escobet-Montalbán, Philip Wijesinghe, Mingzhou Chen, Kishan Dholakia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 multi- photon 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 significantly reducing photobleaching 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.

Original languageEnglish
Title of host publicationMultiphoton Microscopy in the Biomedical Sciences XIX
EditorsAmmasi Periasamy, Peter T. C. So, Karsten Konig
PublisherSPIE
ISBN (Electronic)9781510624061
DOIs
Publication statusPublished - 2019
EventMultiphoton Microscopy in the Biomedical Sciences XIX 2019 - San Francisco, United States
Duration: 2019 Feb 32019 Feb 6

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10882
ISSN (Print)1605-7422

Conference

ConferenceMultiphoton Microscopy in the Biomedical Sciences XIX 2019
Country/TerritoryUnited States
CitySan Francisco
Period19/2/319/2/6

Bibliographical note

Funding Information:
Funding: This 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.

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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