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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Phase Contrast and Differential Interference Contrast Microscopy01:26

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

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Related Experiment Video

Updated: Jun 9, 2026

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
14:09

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Optical hit-miss morphological transform.

D Casasent, R Schaefer, R Sturgill

    Applied Optics
    |August 25, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an optical correlator for improved object recognition using a modified hit-miss transform with rank-order filtering. This technique enhances performance in noisy and cluttered environments, outperforming standard optical pattern recognition.

    Related Experiment Videos

    Last Updated: Jun 9, 2026

    Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
    14:09

    Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

    Published on: April 7, 2014

    Area of Science:

    • Optical Engineering
    • Image Processing
    • Pattern Recognition

    Background:

    • Standard optical pattern recognition correlators struggle with object recognition in cluttered environments.
    • The morphological hit-miss transform offers potential for improved recognition but requires optimization.

    Purpose of the Study:

    • To implement and evaluate a modified morphological hit-miss transform using an optical correlator.
    • To enhance object recognition capabilities in noisy and cluttered conditions.
    • To demonstrate multifunctional operations including dilations, rank-order filtering, and erosions.

    Main Methods:

    • Implementation of a morphological hit-miss transform on a multifunctional coherent optical correlator.
    • Modification of the hit-miss transform to incorporate rank-order filtering for improved noise and clutter performance.
    • Varying correlation plane thresholds to achieve different filtering operations.

    Main Results:

    • The optical correlator demonstrated improved object recognition in clutter compared to standard techniques.
    • Rank-order filtering within the hit-miss transform significantly enhanced performance in noisy and cluttered scenes.
    • Quantified thresholds for generic object part recognition were determined.

    Conclusions:

    • The proposed optical correlator with a modified hit-miss transform is effective for robust object recognition.
    • The system's multifunctionality allows for adaptable image processing operations.
    • Validated through simulated and optical laboratory data, the approach shows practical applicability.