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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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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.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images.

J Lotz, J Olesch, B Muller

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    |December 2, 2015
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    This summary is machine-generated.

    Accurate whole slide image registration is crucial for digital pathology. This novel method uses a multi-resolution approach to improve alignment accuracy, enabling cell-level comparison of different stains.

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    Area of Science:

    • Digital pathology
    • Computational imaging
    • Histology image analysis

    Background:

    • Whole slide imaging (WSI) enables fusion of fine-grained information from adjacent tissue slides, but large image sizes pose computational challenges.
    • Traditional manual fusion by pathologists is time-consuming and lacks automated analysis capabilities.
    • Accurate cell-level alignment of digitized histology slides is essential for advanced computational analysis.

    Purpose of the Study:

    • To develop an accurate and computationally feasible method for whole slide image registration.
    • To enable cell-level comparison of different immunohistochemical stains on adjacent tissue slides.
    • To overcome memory limitations associated with processing large whole slide images.

    Main Methods:

    • A novel multi-resolution registration approach combining a global nonlinear deformation model with patch-based refinement.
    • Utilizing a second nonlinear registration on individual patches for detailed alignment.
    • Interpolating patch-based deformations to create a globally smooth nonlinear deformation map.
    • Employing the NGF distance measure for handling multistain image registration.

    Main Results:

    • The method was applied to ten whole slide image pairs of human lung cancer data.
    • Alignment accuracy of 85 corresponding structures improved by at least 15% compared to low-resolution registration.
    • Demonstrated significant improvement in the offset of aligned structures.

    Conclusions:

    • The proposed method significantly enhances the accuracy of multistain registration for whole slide images.
    • Enables precise cell-level comparison of different antibodies, advancing digital pathology applications.
    • Facilitates automated analysis by overcoming computational limitations of large histology image datasets.