@inproceedings{4ba49e105eb64afaba7e062da3b7bdf8,
title = "Quantum ghost imaging for non-destructive plant imaging using highly non-degenerate spontaneous parametric downconversion",
abstract = "Modern instruments for imaging biological samples often use high-power lasers or fluorescent dyes that can disturb sensitive processes within living organisms such as plants. Additionally, many interesting plant processes have absorption bands within the near-infrared (NIR), a spectral region hard to efficiently and cost-effectively detect using current camera technology. We present a quantum ghost imaging (QGI) protocol using a proprietary time and space-resolving photon-counting visible camera, NCam, and a highly nondegenerate source of entangled photon pairs. The combination of these two technologies allows for low-noise, high-resolution non-destructive imaging in the NIR, while using a camera sensitive for visible wavelengths.",
author = "Meier, \{Kristina A.\} and Ryan, \{Duncan P.\} and Thompson, \{David C.\} and Newell, \{Raymond T.\} and Sandoval, \{Rebecca Holmes\} and Werner, \{James H.\}",
year = "2023",
doi = "10.1117/12.2663941",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Unknown Publisher",
editor = "Jacob Scheuer and Shahriar, \{Selim M.\}",
booktitle = "Quantum Sensing, Imaging, and Precision Metrology",
note = "Quantum Sensing, Imaging, and Precision Metrology 2023 ; Conference date: 01-01-2023",
}