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Single-Pixel Photoacoustic Microscopy with Speckle Illumination

  • Antonio M. Caravaca-Aguirre
  • , Florian Poisson
  • , Dorian Bouchet
  • , Nicolino Stasio
  • , Philippe Moreau
  • , Irene Wang
  • , Edward Zhang
  • , Paul Beard
  • , Claire Prada
  • , Christophe Moser
  • , Demetri Psaltis
  • , Ori Katz
  • , Emmanuel Bossy*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Wide-field optical-resolution microscopy with structured illumination and single-pixel detection has been the topic of a number of research investigations. Its advantages over point scanning approaches are many and include a faster acquisition rate for sparse samples, sectioning, and super-resolution features. Initially introduced for fluorescence imaging, structured illumination approaches have been adapted and developed for many other imaging modalities. In this paper, we illustrate how speckle illumination, as a particular type of structured illumination, can be exploited to perform optical-resolution photoacoustic microscopy with a single-pixel imaging approach. We first introduce the principle of single-pixel detection applied to photoacoustic imaging and then illustrate in 2 different situations how photoacoustic images may be computationally reconstructed from speckle illumination: In the first situation where the speckle patterns are known through a prior calibration, various reconstruction approaches may be implemented, which are demonstrated experimentally through both scattering layers and multimode optical fibers; in the second situation where the speckle patterns are unknown (blind structured illumination), the so-called memory effect can be harnessed to produce calibration-free photoacoustic images, following the approach initially proposed for fluorescence imaging through thin scattering layers.

Original languageEnglish
Article number0011
JournalIntelligent Computing
Volume2
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 Antonio M. Caravaca-Aguirre et al.

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