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  • CRi Maestro EX In-Vivo Imaging System

    Author: Release time:2016-05-17 Views:2781

    The Maestro EX In Vivo Imaging System incorporates CRi's FLEX technology, and aims to be the entry-level instrument of choice forin vivofluorescence imaging.The Maestro EX enables more precise detection and quantitation of molecular probes in live animals and complements the automated high-throughput Maestro 2 imaging system, by providing comparable imaging performance in a design intended for lower-throughput manual operation.


    Instrument name

    Small animal optical imaging system

    Model number

    CRi Maestro EX

    Manufacturer

    Photometrics

    Specifications

    1. 512 x 512 imaging array ,16 x 16-μm pixels.

    2. Smallest, most powerful scientific EMCCD camera on the market.

    3. Most advanced feature set available for low-light applications.

    4. Lowest dark current available for an EMCCD camera.

    5. Lowest read noise available for an EMCCD camera.

    6. Ideal for sophisticated researcher and multi-user labs.

    7. Superb electron multiplication (EM) gain and bias stability.

    8. Most accurate EM calibration technique in the industry.

    9. Available with exclusive eXcelon™ technology.

    10. Backed by Photometrics’ worldwide support team.

    Applications and Uses

    The Evolve 512 offers life science researchers the world’s first 

    advanced feature set designed specifically for EMCCD cameras and

    for low-light-level bio-imaging applications. Each of the Evolve

    camera’s revolutionary features can easily be enabled or disabled by

    the camera user via software control. This sophisticated functionality

    enhances the quantitative nature of the camera while simultaneously

    allowing researchers to concentrate on acquiring image data relevant

    to their work.

    Accessories

      

    Contacts

    Xiangfang Tan

    Contact number

    65884616

    E-mail

    xftan@suda.edu.cn

                                                     

     Editor: Xiaofang Tan