66 research outputs found
High-sensitivity diamond magnetometer with nanoscale resolution
We present a novel approach to the detection of weak magnetic fields that
takes advantage of recently developed techniques for the coherent control of
solid-state electron spin quantum bits. Specifically, we investigate a magnetic
sensor based on Nitrogen-Vacancy centers in room-temperature diamond. We
discuss two important applications of this technique: a nanoscale magnetometer
that could potentially detect precession of single nuclear spins and an optical
magnetic field imager combining spatial resolution ranging from micrometers to
millimeters with a sensitivity approaching few femtotesla/Hz.Comment: 29 pages, 4 figure
Modulation of Hydrogen Peroxide Production in Cellular Systems by Low Level Magnetic Fields
Increased generation of reactive oxygen species (ROS) and an altered redox status have long been observed in cancer cells, suggesting that ROS might be involved in the development of these cells. However, recent studies suggest that inducing an excess of ROS in cancer cells can be exploited for therapeutic benefits. Cancer cells in advanced stage tumors frequently exhibit multiple genetic alterations and high oxidative stress, suggesting that it might be possible to preferentially modulate the development of these cells by controlling their ROS production. Low levels of ROS are also important for the development and survival of normal cells. In this manuscript, we present data on the influence of the suppression of the Earth's magnetic field (low level magnetic fields or LLF) which magnitudes range from 0.2 µT to 2 µT on the modulation of hydrogen peroxide (H2O2) in human fibrosarcoma cancer cell line HT1080, pancreatic AsPC-1 cancer cell line, and bovine pulmonary artery endothelial cells (PAEC) exposed to geomagnetic field (control; 45 µT–60 µT). Reduction of the Earth's magnetic field suppressed H2O2 production in cancer cells and PAEC. The addition of catalase and superoxide dismutase (SOD) mimetic MnTBAP inhibited the magnetic field effect. Modulating ROS production by magnetic fields may open new venues of biomedical research and therapeutic strategies
Electron spin coherence exceeding seconds in high purity silicon
Silicon is undoubtedly one of the most promising semiconductor materials for
spin-based information processing devices. Its highly advanced fabrication
technology facilitates the transition from individual devices to large-scale
processors, and the availability of an isotopically-purified Si form
with no magnetic nuclei overcomes what is a main source of spin decoherence in
many other materials. Nevertheless, the coherence lifetimes of electron spins
in the solid state have typically remained several orders of magnitude lower
than what can be achieved in isolated high-vacuum systems such as trapped ions.
Here we examine electron spin coherence of donors in very pure Si
material, with a residual Si concentration of less than 50 ppm and donor
densities of per cm. We elucidate three separate mechanisms
for spin decoherence, active at different temperatures, and extract a coherence
lifetime up to 2 seconds. In this regime, we find the electron spin is
sensitive to interactions with other donor electron spins separated by ~200 nm.
We apply a magnetic field gradient in order to suppress such interactions and
obtain an extrapolated electron spin of 10 seconds at 1.8 K. These
coherence lifetimes are without peer in the solid state by several orders of
magnitude and comparable with high-vacuum qubits, making electron spins of
donors in silicon ideal components of a quantum computer, or quantum memories
for systems such as superconducting qubits.Comment: 18 pages, 4 figures, supplementary informatio
Recovering complete and draft population genomes from metagenome datasets
Assembly of metagenomic sequence data into microbial genomes is of fundamental value to improving our understanding of microbial ecology and metabolism by elucidating the functional potential of hard-to-culture microorganisms. Here, we provide a synthesis of available methods to bin metagenomic contigs into species-level groups and highlight how genetic diversity, sequencing depth, and coverage influence binning success. Despite the computational cost on application to deeply sequenced complex metagenomes (e.g., soil), covarying patterns of contig coverage across multiple datasets significantly improves the binning process. We also discuss and compare current genome validation methods and reveal how these methods tackle the problem of chimeric genome bins i.e., sequences from multiple species. Finally, we explore how population genome assembly can be used to uncover biogeographic trends and to characterize the effect of in situ functional constraints on the genome-wide evolution
The Role of Active Crossings in the Development of MARY Signals in the Spin System of a Radical Pair
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