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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...

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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

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Published on: May 20, 2013

Clean image synthesis and target numerical marching for optical imaging with backscattering light.

Min Xu, Yang Pu, Wubao Wang

    Biomedical Optics Express
    |April 13, 2011
    PubMed
    Summary

    This study introduces a new method combining scanning backscattering imaging and independent component analysis (ICA) for subsurface target localization in turbid media. The technique successfully achieved the first 3D localization of embedded objects, including cancerous prostate tissue.

    Keywords:
    (170.0110) Imaging systems(170.0170) Medical optics and biotechnology(170.3010) Image reconstruction techniques(170.3660) Light propagation in tissues(170.5280) Photon migration(290.1350) Backscattering(290.1990) Diffusion(290.4210) Multiple Scattering(290.7050) Turbid media

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    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

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    Published on: May 20, 2013

    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

    Published on: February 12, 2014

    Area of Science:

    • Biomedical Optics
    • Image Processing
    • Medical Imaging

    Background:

    • Probing subsurface targets in turbid media presents significant challenges due to light scattering.
    • Accurate localization of embedded objects, especially biological tissues, is crucial for diagnosis and treatment.

    Purpose of the Study:

    • To develop and demonstrate a novel 3D localization method for targets within turbid media.
    • To introduce a new correction procedure for synthesizing clean images from dirty backscattering data.
    • To achieve the first demonstration of 3D localization using independent component analysis (ICA) in a backscattering geometry.

    Main Methods:

    • Utilized scanning backscattering imaging and independent component analysis (ICA).
    • Developed a correction procedure to synthesize a clean image of the host medium.
    • Employed ICA on the difference between dirty and clean images to unmix target intensity distributions.
    • Applied a novel analytical method for target localization by marching the target to the surface.

    Main Results:

    • Successfully synthesized a clean image from dirty backscattering images.
    • Achieved unmixing of independent intensity distributions corresponding to individual targets.
    • Demonstrated accurate 3D localization of embedded objects within a turbid medium.
    • Validated the method by imaging cancerous prostate tissue within normal prostate tissue.

    Conclusions:

    • The proposed method enables accurate 3D localization of subsurface targets in turbid media.
    • This technique represents a significant advancement in imaging and localizing embedded biological tissues.
    • The study marks the first successful demonstration of 3D localization using ICA in backscattering geometry for such applications.