Mass Histogram
Mass Histogram - Related Videos
01:17
Probability Histograms
0 Views •
2025
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
01:05
Histogram
0 Views •
2023
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability). A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
01:14
Relative Frequency Histogram
0 Views •
2023
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
10:23
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
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Cited by 8 •
2017
Lipid droplets are important organelles for the replication of several pathogens, including the Hepatitis C Virus (HCV). We describe a method to isolate lipid droplets for quantitative mass spectrometry of associated proteins; it can be used under a variety of conditions, such as virus infection, environmental stress, or drug treatment.
01:52
Atomic Mass
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2020
Atoms — and the protons, neutrons, and electrons that compose them — are extremely small. For example, a carbon atom weighs less than 2 × 10−23 g. When describing the properties of tiny objects such as atoms, we use appropriately small units of measure, such as the atomic mass unit (amu). The amu was originally defined based on hydrogen, the lightest element, then later in terms of oxygen. Since 1961, it has been defined with regard to the most abundant isotope of carbon, atoms of which are...
FAQs
Bin width determines how measurements are grouped before the bars are drawn. Narrow intervals can preserve finer differences between molecular species, whereas wider intervals combine nearby observations and emphasize broader distribution patterns. Consequently, apparent peaks or dominant regions depend partly on the chosen grouping, so binning should match the level of mass detail needed for the analysis.
Bar height can represent either the number of observations in a mass interval or that interval’s proportion of the sample. Frequency emphasizes total counts, while relative abundance makes distributions easier to compare when sample sizes differ. This distinction affects whether a region contains many measured species overall or simply a larger share of its particular sample.
A shift in the distribution can indicate that the measured molecular population changed after binding, modification, or processing. The histogram does not by itself name the responsible event, but it can show that dominant mass regions moved or that new regions appeared. Researchers can then compare those patterns with experimental conditions when assessing proteins, metabolites, or macromolecules.
A mixture may produce observations distributed across several mass regions, whereas a more concentrated population may be represented mainly in one dominant region. Examining the number and relative prominence of these regions helps summarize sample composition without treating every measurement separately. This is especially useful when molecular-weight measurements contain multiple species.
Construction begins with the measured mass values, followed by selection of intervals along the mass scale. Observations are assigned to those intervals and counted, after which the counts or proportions are displayed as bars. The resulting plot can then be inspected for dominant species, broad distribution patterns, or changes between samples.
Researchers can examine whether distributions retain the same dominant mass regions or show shifts in their location and prominence. Using relative abundance is useful when sample sizes differ, while raw frequency preserves information about total observations. These comparisons can indicate altered sample composition associated with binding, modification, or processing.
In biochemistry, mass histograms support analysis of proteins, metabolites, and macromolecules, particularly when mass spectrometry supplies the measurements. They can summarize molecular-weight data, highlight dominant species, and organize evidence about sample composition. Their value is greatest when researchers need to compare distributions or follow mass-related changes across experimental conditions.