The Science
The Impact
QGI offers key advantages for plant research. This ultra-sensitive technique allows for detailed monitoring of plant health and growth without exposing the crops to harmful light levels, which could stress or damage the plants. QGI also removes the need to insert dyes or other “labels” into plants. These labels can help researchers view microscopic features, but they can also interfere with plant processes. By using label-free infrared imaging, researchers can gather critical information about important plant processes, such as water content and photosynthesis, even in low-light conditions. This is particularly beneficial for studying biofuel crops, where researchers want to optimize plant growth and health to maximize yield and sustainability.
Summary
Quantum ghost imaging (QGI) measures the absorption of light at extremely low light intensities. Non-degenerate QGI probes a sample at one wavelength while forming an image with correlated photons at a different wavelength. This spectral separation alleviates the need for imaging detectors with high sensitivity in the near-infrared region, thereby reducing the required illumination intensity. Using NCam, a novel single-photon detector, researchers demonstrated non-degenerate QGI with unprecedented sensitivity and contrast, obtaining images of living plants with less than 1% light transmission. The plants were imaged with a photon flux that is orders of magnitude below starlight. The method used infrared light to the plant to detect chemicals that can only be seen with these wavelengths, and visible light where detectors are better designed.
This realization of QGI expands the method to extremely low light bioimaging and imaging of light-sensitive samples, where minimizing illumination intensity is crucial to prevent phototoxicity or sample degradation. This study demonstrated live plant imaging of several representative plant samples, including the biofuel crop sorghum. This work was performed, in part, at the Center for Integrated Nanotechnologies, a Department of Energy Office of Science user facility.
Funding
This research was supported by the Department of Energy (DOE) Office of Science, Biological and Environmental Research, Biological Characterization and Imaging Science Program. This work was performed, in part, at the Center for Integrated Nanotechnologies, a DOE Office of Science user facility at Los Alamos National Laboratory.