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Related Concept Videos

Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Correlation and Causation01:27

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Correlation01:09

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Scatter Plot01:15

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The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
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Layers of the Epidermis01:21

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The epidermis, the outermost layer of the skin, is composed of several distinct layers. From deep to superficial, the layers of the epidermis are as follows:
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Correlation and Regression00:53

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Related Experiment Video

Updated: Jan 30, 2026

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM
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Noninvasive focusing through scattering layers using speckle correlations.

Galya Stern, Ori Katz

    Optics Letters
    |January 16, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Researchers harnessed the "memory effect" from light scattering to noninvasively guide wavefront shaping. This technique enables precise focusing of light through scattering materials for advanced imaging applications.

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    Area of Science:

    • Optics and Photonics
    • Biomedical Imaging
    • Wave Phenomena

    Background:

    • The "memory effect" describes angular speckle correlations in scattered light.
    • This effect has been previously used for noninvasive imaging applications.
    • Wavefront shaping is crucial for controlling light propagation through scattering media.

    Purpose of the Study:

    • To demonstrate the use of speckle correlations as a feedback mechanism for wavefront shaping.
    • To achieve noninvasive, diffraction-limited focusing of coherent light through scattering layers.

    Main Methods:

    • Utilizing angular speckle correlations (memory effect) for feedback.
    • Implementing wavefront shaping techniques.
    • Focusing coherent light through thin scattering layers.

    Main Results:

    • Speckle correlation information successfully served as a noninvasive feedback signal.
    • Diffraction-limited focusing of coherent light was achieved through scattering layers.
    • The method proved effective for noninvasive wavefront control.

    Conclusions:

    • Angular speckle correlations provide a viable noninvasive feedback for wavefront shaping.
    • This approach enables precise light focusing through scattering media.
    • Potential applications in noninvasive imaging and optical manipulation.