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Quantum Microscopy of Cells at the Heisenberg Limit

Medicine and Health

Quantum Microscopy of Cells at the Heisenberg Limit

Z. He, Y. Zhang, et al.

Discover the groundbreaking advancements in quantum microscopy by coincidence (QMC) achieved by Zhe He and colleagues. This innovative technique utilizes entangled photons to break the barriers of super-resolution imaging, allowing for non-destructive bioimaging with a resolution of 1.4 µm in cancer cells. Experience imaging at the Heisenberg limit with unparalleled speed and contrast-to-noise ratio!

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~3 min • Beginner • English
Abstract
Entangled biphoton sources exhibit nonclassical characteristics and have been applied to imaging techniques such as ghost imaging, quantum holography, and quantum optical coherence tomography. The development of wide-field quantum imaging to date has been hindered by low spatial resolutions, speeds, and contrast-to-noise ratios (CNRs). Here, we present quantum microscopy by coincidence (QMC) with balanced pathlengths, which enables super-resolution imaging at the Heisenberg limit with substantially higher speeds and CNRs than existing wide-field quantum imaging methods. QMC benefits from a configuration with balanced pathlengths, where a pair of entangled photons traversing symmetric paths with balanced optical pathlengths in two arms behave like a single photon with half the wavelength, leading to a two-fold resolution improvement. Concurrently, QMC resists stray light up to 155 times stronger than classical signals. The low intensity and entanglement features of biphotons in QMC promise nondestructive bioimaging. QMC advances quantum imaging to the microscopic level with significant improvements in speed and CNR toward the bioimaging of cancer cells. We experimentally and theoretically prove that the configuration with balanced pathlengths illuminates an avenue for quantum-enhanced coincidence imaging at the Heisenberg limit.
Publisher
Nature Communications
Published On
Apr 28, 2023
Authors
Zhe He, Yide Zhang, Xin Tong, Lei Li, Lihong V. Wang
Tags
quantum microscopy
super-resolution imaging
Heisenberg limit
entangled photons
bioimaging
cancer cells
contrast-to-noise ratio
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