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FluorVivo Mag - in vivo cell imaging

    • Used on any stereo or fluorescent microscope;
    • Single cell in vivo;
    • Dural-color real-time imaging.

FluorVivo Mag - in vivo cell imaging

    • Used on any stereo or fluorescent microscope;
    • Single cell in vivo;
    • Dural-color real-time imaging.

  • FluorVivoTM Mag is a new member of INDEC BioSystems' family of in vivo imaging solutions. Developed by INDEC BioSystems, FluorVivo Mag combines a commercially available stereo microscope with INDEC's proprietary digital color camera and software. The Mag brings fast and simple digital imaging to a critical range of magnifications, ranging from the subcellular to the whole animal. This makes the Mag an ideal instrument for examining the interplay between cells and their systemic contexts.

    By capturing the key features of systems costing over ten times as much, FluorVivo Mag brings powerful imaging and analytical capabilities to a broad range of applications, such as developmental, cancer and regenerative biology.













     

  • Easy in vivo fluorescence imaging from microscopic to macroscopic scales, taking full advantage of the microscope zoom capability.

    The Mag can be used on any stereo or dissection microscope, even if it does not have a camera port
    When used for GFP, it is optimized for simultaneous imaging (in a single exposure) of both GFP and RFP.

    Real time, multicolor imaging - images are in full color.

    Live video imaging and recording - perfect for fluorescence surgical applications.

    Quantitative - manual and automated analysis capabilities included.

    A complete, turn-key system with the lowest cost of ownership on the market.
















  • Applications in basic research include studies of gene expression, stem cell and developmental biology. Applications specific to cancer research include apoptosis, tumor growth, and angiogenesis, extravasation, and metastasis. Pre-clinical applications include drug screenings, drug targeting, and validation of animal models.