Biological measurement beyond the quantum limit
By Michael A. Taylor, J. Janoušek, V. Daria, J. Knittel, B. Hage, H. Bachor, Warwick P. Bowen. Nature Photonics, 2012
532 citations recorded by the source corpus.
Dynamic biological measurements require low light levels to avoid damaging the specimen. With this constraint on optical power, quantum noise fundamentally limits the measurement sensitivity. This limit can only be surpassed by extracting more information per photon by using quantum correlations. Here, we experimentally demonstrate that the quantum shot noise limit can be overcome for measurements of living systems. Quantum-correlated light with amplitude noise squeezed 75% below the vacuum level is used to perform microrheology experiments within Saccharomyces cerevisiae yeast cells. Naturally occurring lipid granules are tracked in real time as they diffuse through the cytoplasm, and the quantum noise limit is surpassed by 42%. The laser-based microparticle tracking technique used is compatible with non-classical light and is immune to low-frequency noise, leading the way to achieving a broad range of quantum-enhanced measurements in biology. Researchers use squeezed light to track the constituents of yeast cells with a performance that overcomes the quantum noise limit. This approach allows for the utilization of low optical power, which helps to minimize cell damage.
Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Biophysics
View Paper: https://www.semanticscholar.org/paper/179a5540ae76989a28139564c083a1063279091d
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In Atomic and Molecular Physics, and Optics
- Roman Schnabel
- Claude Fabre
- Nicolas Treps
- Michael A. D. Taylor
- Warwick P. Bowen
- C. Regal
- Göran Wendin
In Biomedical Engineering
In Biophysics
Citations in the corpus
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- Modes and states in quantum optics (2019, background): “t al., 2016). Several experiments have shown that it is indeed possible to go beyond the standard Cram´er-Rao bound by using squeezed light in the appropriate detection mode (Pooser and Lawrie, 2015; Taylor et al., 2013; Treps et al., 2002). A general problem this approach can be naturally applied t”