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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Related Experiment Video

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Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging
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Genetic apertures: an improved sparse aperture design framework.

Philip S Salvaggio, John R Schott, Donald M McKeown

    Applied Optics
    |May 4, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method using genetic algorithms to optimize optical sparse aperture imaging layouts for remote sensing. The research shows potential for discovering novel aperture designs beyond current limitations.

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    Area of Science:

    • Optics and Remote Sensing
    • Computational Imaging

    Background:

    • Existing optical sparse aperture imaging research in remote sensing relies on a limited range of aperture layouts.
    • These conventional layouts, while functional, may not be optimal for diverse remote sensing applications.

    Purpose of the Study:

    • To develop an optimization framework for designing novel sparse aperture layouts.
    • To evaluate image quality metrics for incoherent sparse aperture imaging.

    Main Methods:

    • Implementation of a genetic algorithm-based optimization framework.
    • Development and application of fitness functions tailored to incoherent sparse aperture image quality.

    Main Results:

    • The optimization process validated the effectiveness of established sparse aperture designs.
    • Identified opportunities for creating new, potentially superior, sparse aperture layouts.

    Conclusions:

    • Genetic algorithms offer a powerful approach to optimizing sparse aperture imaging.
    • This framework can lead to the discovery of advanced aperture configurations for enhanced remote sensing capabilities.