Peak Scanner Software
Peak Scanner Software - Related Videos
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.
08:25
Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
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Cited by 6 •
2014
This protocol describes a process for rapid collection of images of Arabidopsis seedlings responding to a gravity stimulus using commercially-available flatbed scanners. The method allows for inexpensive, high-volume capture of high-resolution images amenable for downstream analysis algorithms.
01:20
IR Spectrum Peak Intensity: Dipole Moment
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2024
The dipole moment of a bond is the product of the partial charge on either atom and the distance between them. Dipole moments influence the efficiency of IR absorption and the peak intensity. When a bond with a dipole moment is placed in an electric field, the direction of the field determines if the bond is compressed or stretched. Electromagnetic radiation consists of an electric field component that rapidly reverses direction. It follows that polar bonds are alternately stretched and...
00:55
IR Spectrum Peak Intensity: Amount of IR-Active Bonds
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2024
When infrared radiation is passed through a molecule, absorption occurs if the molecule's vibration leads to a substantial change in its bond dipole moment. Transitions between vibrational energy levels, typically corresponding to infrared frequencies (4000–400 cm−1), allow absorption if the vibration significantly alters the dipole moment, making the molecule infrared active. The molecular bonds have different stretching and bending vibrations, resulting in various peaks with varying...
01:23
IR Spectrum Peak Broadening: Hydrogen Bonding
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2024
The vibrational frequency of a bond is directly proportional to its bond strength. As a result, stronger bonds vibrate at higher frequencies, while weaker bonds vibrate at lower frequencies. The stretching vibration of the strong O–H bond in alcohols and phenols (very dilute solution or gas phase) appears as a sharp peak at 3600–3650 cm−1. However, the extent of hydrogen bonding influences the observed stretching frequency and band broadening. Intermolecular or intramolecular hydrogen bonding...
FAQs
The software relates fluorescence signal peaks to an internal size standard measured in the same capillary electrophoresis run. Because the standard provides reference migration patterns, detected sample peaks can be assigned estimated fragment sizes. This sizing step allows researchers to distinguish PCR amplicons with different lengths and compare fragment profiles across immune-related or pathogen-associated targets.
Fluorescence intensity signals provide the measurable pattern from which the software detects peaks. Their locations indicate where separated fragments appear, while the resulting peak profile organizes the capillary electrophoresis output for interpretation. Consistent peak detection helps researchers identify amplicons and evaluate size differences without relying only on an unprocessed electrophoretic signal.
A fragment-size difference indicates that analyzed amplicons do not have identical lengths. When researchers compare these differences across samples, the profiles can support characterization of genetic variation among immune-related targets or pathogen-associated targets. The software does not replace biological interpretation, but it supplies organized sizing information needed for downstream comparison and molecular assessment.
Internal size standards provide a reference for interpreting where sample fragments migrated during electrophoresis. Using that reference makes estimated fragment sizes more consistent than judging peak positions without a shared sizing basis. As a result, researchers can organize profiles, identify differences among samples, and make more reliable comparisons during genotyping or pathogen strain analysis.
A typical workflow begins with capillary electrophoresis output containing fluorescence signals and an internal size standard. The software detects sample peaks, compares their migration patterns with the standard, and estimates fragment sizes. Researchers then review the resulting fragment profiles to identify amplicon size differences and organize the measurements for genotyping or later molecular interpretation.
The software is useful when an experiment produces capillary electrophoresis profiles that must be compared across samples. Estimated fragment sizes can support genotyping by distinguishing amplicon patterns, while related profiles can help characterize differences among microbial strains. These applications are especially relevant when researchers need organized molecular measurements rather than only raw fluorescence data.
In immunology, fragment profiles can help evaluate PCR amplicons associated with immune-related targets and organize evidence of genetic variation. In infection research, the same analysis can be applied to pathogen-associated targets and microbial strain comparisons. The resulting size measurements also support assay development and provide structured data for downstream interpretation of molecular experiments.