Presentation
24 April 2017 Double-pass imaging through scattering (Conference Presentation)
Author Affiliations +
Abstract
In the last years, single-pixel imaging (SPI) was established as a suitable tool for non-invasive imaging of an absorbing object completely embedded in an inhomogeneous medium. One of the main characteristics of the technique is that it uses very simple sensors (bucket detectors such as photodiodes or photomultiplier tubes) combined with structured illumination and mathematical algorithms to recover the image. This reduction in complexity of the sensing device gives these systems the opportunity to obtain images at shallow depth overcoming the scattering problem. Nonetheless, some challenges, such as the need for improved signal-to-noise or the frame rate, remain to be tackled before extensive use in practical systems. Also, for intact or live optically thick tissues, epi-detection is commonly used, while present implementations of SPI are limited to transillumination geometries. In this work we present new features and some recent advances in SPI that involve either the use of computationally efficient algorithms for adaptive sensing or a balanced detection mechanism. Additionally, SPI has been adapted to handle reflected light to create a double pass optical system. Such developments represent a significant step towards the use of SPI in more realistic scenarios, especially in biophotonics applications. In particular, we show the design of a single-pixel ophtalmoscope as a novel way of imaging the retina in real time.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Enrique Tajahuerce, Pedro Andrés Bou, Pablo Artal, and Jesús Lancis "Double-pass imaging through scattering (Conference Presentation)", Proc. SPIE 10073, Adaptive Optics and Wavefront Control for Biological Systems III, 100730L (24 April 2017); https://doi.org/10.1117/12.2251474
Advertisement
Advertisement
KEYWORDS
Scattering

Detection and tracking algorithms

Sensors

Image restoration

Image sensors

Imaging technologies

Photodiodes

Back to Top