Live Cell Fluorescence Imaging - Webinar Invitation

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Elaine Rasmussen Elaine Rasmussen
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Live Cell Fluorescence Imaging - Webinar Invitation

Search the CONFOCAL archive at
http://listserv.acsu.buffalo.edu/cgi-bin/wa?S1=confocal

You are invited to attend a live, interactive, web-based instructional seminar:

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Live Cell Fluorescence Imaging

Presented By: Nicholas Beavers, Media Cybernetics

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Details are below. Connection lines are limited, so reserve yours now. There is
no charge to participate in this on-line seminar.

When
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August 26, 2008
Tuesday at  01:30 PM  Pacific Time

Duration: About 45 minutes, plus questions and answers
Pre-register (required) at:
http://www.magworldwide.com/education/webinar07160801.php

Details:
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Precise control and coordination of microscope optics, filters, stage,
illumination, camera, incubator, pumps, and other devices is critical to the
performance of any live cell study, particularly when quantitative analysis or
deconvolution will be performed on the acquired image sets.  In this
educational live webinar, attendees will learn how to optimally set up an
automated and semi-automated microscope for performing protocols such as:

High speed fluorescence imaging
Single-probe and multiple-probe fluorescence imaging
3D time-lapse of single and multiple fluorescence probes
Time-lapse imaging of cells in multi-well plates
Ratiometric imaging
Attendees will leave with a better understanding of the software and
hardware options available for performance of live cell fluorescence imaging
applications.

Bring your questions to this live, interactive web-based seminar.

Provided free of charge, this webinar is sponsored by MAG, the Microimaging
Applications Group. MAG is a group of imaging companies who work together
to provide an unparalleled range of microimaging solutions to science and
industry.


About the presenter
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Nicholas Beavers is an Applications Specialist with Media Cybernetics,
providers of the InVivo, Image Pro and AutoQuant families of image
acquisition, processing, and analysis software. Nick has extensive hands-on
experience in the configuration and programming of complex image acquisition
systems for performing quantitative live-cell studies.