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Related Concept Videos

SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

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Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined...
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Imaging Biological Samples with Optical Microscopy01:18

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Units and Standards of Measurement01:10

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
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Conversion of Units01:36

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Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
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Measurement: Standard Units03:38

Measurement: Standard Units

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Super-resolution Fluorescence Microscopy01:37

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Related Experiment Video

Updated: Sep 11, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Resolution metric for imaging systems.

Brad C Smith, Phil Gatt

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |August 12, 2025
    PubMed
    Summary

    A new metric, Omega_res, offers superior imaging system resolution assessment by incorporating aberrations and obscurations. This advanced optical performance metric improves upon traditional methods.

    Area of Science:

    • Optical Engineering
    • Image Science
    • Metrology

    Background:

    • Imaging system resolution is crucial for optical performance evaluation.
    • Existing metrics like instantaneous field of view and Rayleigh criterion have limitations, neglecting aberrations, obscurations, and detector uniformity.
    • Current methods often treat optical and detector resolutions independently.

    Purpose of the Study:

    • To introduce a novel metric, Omega_res, for quantifying imaging system resolution.
    • To demonstrate the advantages of Omega_res over conventional metrics.
    • To establish relationships between Omega_res, signal-to-noise ratio, and sampling numbers.

    Main Methods:

    • Developed Omega_res based on the system's point response function.
    • Validated the metric by comparing its performance against established methods.

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  • Related Omega_res to the matched filter signal-to-noise ratio and defined a generalized 2D sampling Q number.

    • Main Results:

    • The proposed Omega_res metric effectively accounts for aberrations and obscurations.
    • Demonstrated superior performance and comprehensive evaluation capabilities compared to traditional metrics.
    • Established a theoretical link between resolution, signal-to-noise ratio, and sampling.

    Conclusions:

    • Omega_res provides a more accurate and holistic measure of imaging system resolution.
    • The new metric facilitates a unified approach to optical and detector resolution assessment.
    • This work introduces a generalized sampling Q number for improved image quality analysis.