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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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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
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SPLASSH: Open source software for camera-based high-speed, multispectral in-vivo optical image acquisition.

Ryan Sun, Matthew B Bouchard, Elizabeth M C Hillman

    Biomedical Optics Express
    |January 25, 2011
    PubMed
    Summary

    We developed free, open-source software for high-speed, multispectral in-vivo optical imaging. This tool simplifies complex camera control, making advanced biological imaging more accessible for researchers.

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    Published on: October 4, 2018

    Area of Science:

    • Biomedical Engineering
    • Optical Imaging
    • Software Development

    Background:

    • Camera-based in-vivo optical imaging offers detailed insights into tissue structure, function, and disease.
    • High-speed, high-resolution imaging captures dynamic biological events like blood flow changes.
    • Commercial scientific cameras often lack suitable software for in-vivo applications, hindering implementation.

    Purpose of the Study:

    • To develop a novel, open-source software package for controlling high-speed, multispectral in-vivo optical imaging systems.
    • To address the challenges and time constraints associated with implementing in-vivo optical imaging.
    • To provide researchers with a versatile and accessible tool for advanced biological imaging.

    Main Methods:

    • Developed a modular software package with a custom graphical user interface (GUI).
    • Integrated control for inexpensive IEEE 1394 Firewire cameras.
    • Synchronized multispectral illumination using off-the-shelf light-emitting diodes and a microcontroller for arbitrary high-speed sequences.

    Main Results:

    • Created a comprehensive software suite for high-speed, multispectral in-vivo optical imaging.
    • Enabled extensive control over camera acquisition and illumination synchronization.
    • The software is available as a free download for public use.

    Conclusions:

    • The developed open-source software simplifies the implementation of advanced in-vivo optical imaging.
    • This tool enhances accessibility and efficiency for researchers studying dynamic biological processes.
    • Provides a framework for developing similar software solutions in optical imaging.