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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...

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Related Experiment Video

Updated: Jun 12, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

Optical limits for spatial interconnection networks using 2-D optical array devices.

T Sakano, K Noguchi, T Matsumoto

    Applied Optics
    |June 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study explores optical spatial interconnection networks for multiprocessor systems and neural networks. It defines theoretical limits for maximum channel numbers, guiding optimal network design.

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    Last Updated: Jun 12, 2026

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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    Published on: April 1, 2020

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    Published on: February 6, 2014

    Area of Science:

    • Optoelectronics
    • Computer Architecture
    • Network Engineering

    Background:

    • Optical spatial interconnection networks offer a promising solution for high-speed data transfer in complex computing systems.
    • Multiprocessor systems and neural networks require efficient interconnection strategies to manage large data flows.

    Purpose of the Study:

    • To determine the theoretical limits on the maximum channel numbers in optical spatial interconnection networks.
    • To derive optimal design parameters for these networks based on optical restrictions.

    Main Methods:

    • Analysis of optical restrictions within a 2-D source array, lens array, and detector array configuration.
    • Theoretical derivation of channel capacity limits.

    Main Results:

    • Established theoretical maximum channel numbers for optical spatial interconnection networks.
    • Identified key optical restrictions influencing network performance.

    Conclusions:

    • The theoretical limits provide crucial insights for designing efficient optical interconnection networks.
    • Optimized design parameters can enhance the performance of multiprocessor systems and neural networks.