Low Frequency Detection
Low Frequency Detection - Related Videos
10:22
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
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Cited by 59 •
2016
High Frequency Oscillations (HFOs) have emerged as presurgical biomarkers for the identification of the epileptogenic zone in pediatric patients with medically refractory epilepsy. A methodology for the noninvasive recording, detection, and localization of HFOs with simultaneous scalp electroencephalography (EEG) and magnetoencephalography (MEG) is presented.
07:01
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
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Cited by 5 •
2016
A scanner for imaging magnetic particles in planar samples was developed using the planar frequency mixing magnetic detection technique. The magnetic intermodulation product response from the nonlinear nonhysteretic magnetization of the particles is recorded upon a two-frequency excitation. It can be used to take 2D images of thin biological samples.
05:11
Wild-Type Blocking PCR to Detect Low-Frequency Somatic Mutations
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2025
This video describes wild-type blocking polymerase chain reaction, or WTB-PCR, which detects somatic mutations. The PCR-based technique uses a locked nucleic acid, or LNA, an oligonucleotide that binds to its complementary wild-type allele and blocks its elongation. The blocking selectively allows the amplification of low-level mutant alleles over their wild-type variants in the sample.
10:41
Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
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Cited by 5 •
2017
Wild-type blocking PCR followed by direct sequencing offers a highly sensitive method of detection for low frequency somatic mutations in a variety of sample types.
09:38
Characterizing Far-infrared Laser Emissions and the Measurement of Their Frequencies
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Cited by 4 •
2015
We describe the generation of far-infrared radiation using an optically pumped molecular laser along with the measurement of their frequencies with heterodyne techniques. The experimental system and techniques are demonstrated using difluoromethane (CH2F2) as the laser medium whose results include three new laser emissions and eight measured laser frequencies.
FAQs
Reliable Low Frequency Detection separates meaningful events from background variation by combining sensitive measurements of many individual targets with analytical thresholds. A signal must exceed the threshold used to classify it as a true event rather than noise. This distinction is essential because rare cells, molecules, or pathogens can otherwise be obscured when their measurements are considered within the larger population.
Examining many individual targets increases the opportunity to observe uncommon events within a large population. This approach can reveal rare cells, molecules, pathogens, or response patterns that population-level measurements may conceal. In immunology and infection research, broad acquisition therefore supports more detailed characterization of uncommon biological features instead of allowing the dominant signals in a sample to determine the entire interpretation.
The outcome depends on how sensitively measurements are acquired, how many individual targets are examined, and where analytical thresholds are set. Sensitive acquisition helps capture weak signals, while a sufficiently large population improves the chance of observing uncommon events. Threshold selection then affects which measurements are classified as meaningful, making the balance between signal recognition and background discrimination central to interpretation.
Conventional measurements can overlook uncommon signals when the dominant population determines the overall result. Low Frequency Detection instead emphasizes individual targets, sensitive acquisition, and explicit separation of true signals from background noise. This difference makes it useful when a small subset of cells, molecules, pathogens, or immune responses has biological importance even though it contributes little to the aggregate measurement.
A basic workflow begins by acquiring sensitive measurements from many individual targets. The resulting measurements are then examined for signals that may represent uncommon biological events, separated from background noise, and evaluated against analytical thresholds. Researchers can subsequently interpret the detected events in relation to the larger population, using the outcome to identify rare features that conventional analysis might miss.
In immunology, this approach can identify rare antigen-specific immune cells and uncommon immune response patterns. Finding these small subsets helps researchers characterize immune responses more precisely than measurements dominated by the overall population. Such information can improve understanding of how immune responses vary within a sample and can contribute to more detailed investigation of host-pathogen interactions.
In infection research, Low Frequency Detection can help identify low-level pathogen markers that may be overlooked by conventional measurements. Detecting these signals supports earlier recognition of infection-related biological changes and improves characterization of host-pathogen interactions. The same strategy can also reveal uncommon immune response patterns, allowing researchers to examine both pathogen-associated signals and the corresponding variation in host responses.