Showing posts with label Alessia Pasquazi. Show all posts
Showing posts with label Alessia Pasquazi. Show all posts

Wednesday, February 19, 2020

Abstract-Hyperspectral terahertz microscopy via nonlinear ghost imaging



Luana Olivieri, Juan S. Totero Gongora, Luke Peters, Vittorio Cecconi, Antonio Cutrona, Jacob Tunesi, Robyn Tucker, Alessia Pasquazi, and Marco Peccianti
Conceptual description of the TNGI approach. (a) Key experimental components and methodology; (b) volumetric representation of the nonlinear generation of THz patterns; (c) fixed-time reconstruction with a field of view 2mm×2mm and 32×32 spatial sampling; (d) backpropagated hyperspectral image, averaged between 1 and 2 THz.

https://www.osapublishing.org/optica/abstract.cfm?uri=optica-7-2-186

Ghost maging, based on single-pixel detection and multiple pattern illumination, is a crucial investigative tool in difficult-to-access wavelength regions. In the terahertz domain, where high-resolution imagers are mostly unavailable, ghost imaging is an optimal approach to embed the temporal dimension, creating a “hyperspectral” imager. In this framework, high resolution is mostly out of reach. Hence, it is particularly critical to developing practical approaches for microscopy. Here we experimentally demonstrate time-resolved nonlinear ghost imaging, a technique based on near-field, optical-to-terahertz nonlinear conversion and detection of illumination patterns. We show how space–time coupling affects near-field time-domain imaging, and we develop a complete methodology that overcomes fundamental systematic reconstruction issues. Our theoretical-experimental platform enables high-fidelity subwavelength imaging and carries relaxed constraints on the nonlinear generation crystal thickness. Our work establishes a rigorous framework to reconstruct hyperspectral images of complex samples inaccessible through standard fixed-time methods.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Sunday, September 2, 2018

Nonlinear ghost imaging: Research could lead to better security scanners

https://www.sciencedaily.com/releases/2018/08/180830113014.htm


Using a single pixel camera and terahertz electromagnetic waves, physicists have devised a novel imaging concept -- called nonlinear ghost imaging -- that could lead to the development of better airport scanners capable of detecting explosives.

Using a single pixel camera and terahertz electromagnetic waves, a team of physicists at the University of Sussex has devised a blueprint that could lead to the development of better airport scanners capable of detecting explosives.
Miss Luana Olivieri, PhD student and Dr Juan Sebastian Totero Gongora, a Research Fellow in Experimental Photonics of the Emergent Photonics Lab directed by Professor Marco Peccianti and Dr Alessia Pasquazi, have found an innovative way to capture with high accuracy, not just the shape of an object, but also its chemical composition using a special "single point" camera capable of operating at terahertz (THz) frequencies.
Although their work is mostly theoretical at this stage -- they introduced a novel imaging concept named nonlinear ghost imaging -- their ability to capture a more detailed image to previous studies has landed them on the front page of the scientific journal ACS Photonics.
Dr Juan Sebastian Totero Gongora said: "Our approach produces a new type of image which is quite different from what you would get from a standard single-pixel camera as it provides much more information on the object. Compared to prior single pixel images, we also demonstrated that our resolution is inherently higher."
Lying between microwaves and infrared in the electromagnetic spectrum, terahertz radiation has a much larger wavelength to visible light. It can easily penetrate several common materials like paper, clothes and plastics leading to the development of technology within security scanning and manufacture control which allows people to see inside objects and wrapping.
The radiation provokes a different response from biological samples though, allowing researchers to classify materials which are almost indistinguishable with visible light.
Scientists believe that THz waves could have enormous potential in developing critical applications such as explosives detection, medical diagnostics, quality control in manufacturing and food safety.
The challenge, however, lies in the development of reliable and cost-effective cameras as well as the ability to identify objects smaller than the wavelength.
But, by taking a different approach to previous studies in this field, the team of the Emergent Photonics Lab may have found a way to overcome these limitations.
While previous research has illuminated objects with many patterns of laser light in just one colour to extract an image, the researchers illuminated an object with patterns of THz light which contain a broad spectrum of colours.
A single pixel camera (rather than a standard one containing multiple pixels as sold on the high street) can capture the light reflected by the object for each pattern. In the team's study, they found that the camera can detect how the pulse of light is altered in time by the object (even if the THz pulse is an extremely short event). By combining this information with the known shape of the patterns, the shape of the object and its nature are revealed.
The technique may recall the way the brain develops understanding in the vision by focusing separately on different elements and then fusing the relevant information.
Professor Marco Peccianti added: "This is a really significant development and we're really happy that ACS Photonics decided to lead with our research on their front cover. Previous approaches to THz single-pixel cameras cannot preserve the complete information on an object but we understood where the issue lay and identified a way to extract a more complete image.
"We hope that a similar system to ours could be used in real-life applications in biology, medicine and security to determine the chemical composition of an object and its spatial distribution in just one step."
The team's findings are a considerable improvement on established technologies and could have a huge impact beyond the field of THz cameras.
For instance, their technique could be used to design high-resolution cameras in other frequency ranges which could then become part of technology for collision sensors, body scanner or ultra-rapid radars for self-driving cars.
The researchers are now following up on their research, which is largely based on simulations, to experimentally demonstrate their device.
Story Source:
Materials provided by University of Sussex. Original written by Stephanie Allen. Note: Content may be edited for style and length.

Journal Reference:
  1. Luana Olivieri, Juan S. Totero Gongora, Alessia Pasquazi, Marco Peccianti. Time-Resolved Nonlinear Ghost ImagingACS Photonics, 2018; 5 (8): 3379 DOI: 10.1021/acsphotonics.8b00653

Monday, February 16, 2015

Abstract-Sub-wavelength terahertz beam profiling of a THz source via an all-optical knife-edge technique



Sze Phing HoAnna MazhorovaMostafa ShalabyMarco PecciantiMatteo ClericiAlessia PasquaziYavuz OzturkJalil AliRoberto Morandotti
http://arxiv.org/abs/1502.03873
We propose an all-optical Knife Edge characterization technique and we demonstrate its working principle by characterizing the sub-{\lambda} features of a spatially modulated Terahertz source directly on the nonlinear crystal employed for the Terahertz generation.
Subjects:Optics (physics.optics)
Cite as:arXiv:1502.03873 [physics.optics]
(or arXiv:1502.03873v1 [physics.optics] for this version)