QUANTUM CORRELATION MICROSCOPY: PROGRESSING NANOSCOPY

Abstract

Optical microscopy is amongst the most important technologies for understanding science. Conventional approaches use the wave-like nature of light, however harnessing the wave and particle nature of photons provides qualitatively more information, and hence improved imaging resolution: quantum correlation microscopy (QCM). Although QCM provides demonstrable improvements in imaging resolution, the practical implications for microscopy have to date not been quantified. Our work on quantum trilateration demonstrates the first minimal demonstration of an imaging task that is diffraction unlimited for QCM but impossible to achieve with conventional microscopy. Our research also points the way to understanding the extent to which QCM will help with both confocal and full three-dimensional superresolution imaging. We will also apply our techniques to determine the optimal widefield imaging strategy with the emerging technology of single photon array detectors, with thousands of detectors on a single chip. Developing such a framework will enable widefield QCM and enable a rational allocation of photon counting resources for maximal information gain. This project seeks the opportunity to progress the theoretical framework for information gain using widefield QCM microscopy using single photon array detectors, including practical count rates for each level of correlation. We will also apply our techniques to demonstrate quantum trilateration, including high order quantum correlations with Texas AandM, leading to sub-cellular bioimaging applications for AFRL, San Antonio.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010276

Entities

People

  • Andrew D Greentree

Organizations

  • Air Force Office of Scientific Research
  • RMIT University
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Nanoscale Plasmonic Nanotechnology
  • Research Science/Academic Research

Technology Areas

  • Quantum Computing