June 19, 2025
Journal Article

Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy

Abstract

Enhancing the reliability and reproducibility of optical microscopy by reducing specimen irradiance continues to be an important biotechnology target. As irradiance levels are reduced, however, the particle nature of light is heightened, giving rise to Poisson noise, or photon sparsity that restricts only a few (0.5%) image pixels to comprise a photon. Photon sparsity can be addressed by collecting approximately 200 photons per pixel; this, however, requires long acquisitions and, as such, suboptimal imaging rates. Here, we introduce near-zero photon bioimaging, a method that operates at kHz rates and 10,000-fold lower irradiance than standard microscopy. To achieve this level of performance, we uniquely combined a judiciously designed epi-fluorescence microscope enabling ultralow background levels and artificial intelligence that learns to reconstruct biological images from as low as 0.01 photons per pixel. We demonstrate that near-zero photon bioimaging captures the structure of multicellular and subcellular features with high fidelity, including features represented by nearly zero photons. Beyond optical microscopy, the near-zero photon bioimaging paradigm can be applied in remote sensing, covert applications, and biomedical imaging that utilize damaging or quantum light.

Published: June 19, 2025

Citation

Sheneman L., S. Balogun, J. Johnson, M. Harrison, and A.E. Vasdekis. 2025. Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy. Proceedings of the National Academy of Sciences (PNAS) 122, no. 21:Art. No. e2412261122. PNNL-SA-211522. doi:10.1073/pnas.2412261122

Research topics