Intro to Image Processing - Webinar Invitation

[Elaine Rasmussen]

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:

==========================================================
Introduction to Image Processing
Presented By: Nicholas Beavers, Media Cybernetics
==========================================================
Details are below. Connection lines are limited, so reserve yours now. There is
no charge to participate in this on-line seminar.

When
=====================
September 4, 2008
Thursday at 10:30 AM  (Pacific time)

Duration: About 45 minutes, plus questions and answers

Pre-register (required) at:

http://www.magworldwide.com/index.php

Details:
=====================
Imaging in the life and materials sciences has become completely digital and
this transformation of visual imagery into mathematical constructs has made it
commonplace for researchers to utilize computers for their day-to-day image
analysis tasks. Along with this change comes the need to fully understand
how image data is handled within a computer and how image processing
methods can be applied to extract useful measurements and deeper
understanding of image-based data.

Attendees at this live, interactive and highly instructional webinar will learn
the basics of image processing as it applies to the life and materials sciences
and will leave with confident answers to questions such as:

• What is a digital image?
• What is bit depth? and when does it matter?
• How do settings such as brightness, contrast, and gamma affect my images?
• What is “background correction” and how does it work?
• How do image processing filters work, such as sharpening, low-pass, median,
and others?
• What are various ways of measuring image data, including distance, area,
volume, roundness, roughness, intensity?
• How can we identify and count objects in images?
• How can fluorescence images be best visualized and measured?
Who should attend? Every researcher who either performs digital imaging or
needs to better grasp the processes that have been applied to images that
are part of your lab’s research will benefit from attending this short web
presentation.

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
=====================
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.

[Phil Hertzler]

Search the CONFOCAL archive at http://listserv.acsu.buffalo.edu/cgi-bin/wa?S1=confocal Please resend the connection information for the webinar.

Thanks,

Phil Hertzler

At 11:07 PM 9/2/2008, you wrote:

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:

==========================================================
Introduction to Image Processing
Presented By: Nicholas Beavers, Media Cybernetics
==========================================================
Details are below. Connection lines are limited, so reserve yours now. There is
no charge to participate in this on-line seminar.

When
=====================
September 4, 2008
Thursday at 10:30 AM  (Pacific time)

Duration: About 45 minutes, plus questions and answers

Pre-register (required) at:

http://www.magworldwide.com/index.php

Details:
=====================
Imaging in the life and materials sciences has become completely digital and
this transformation of visual imagery into mathematical constructs has made it
commonplace for researchers to utilize computers for their day-to-day image
analysis tasks. Along with this change comes the need to fully understand
how image data is handled within a computer and how image processing
methods can be applied to extract useful measurements and deeper
understanding of image-based data.

Attendees at this live, interactive and highly instructional webinar will learn
the basics of image processing as it applies to the life and materials sciences
and will leave with confident answers to questions such as:

• What is a digital image?
• What is bit depth? and when does it matter?
• How do settings such as brightness, contrast, and gamma affect my images?
• What is “background correction” and how does it work?
• How do image processing filters work, such as sharpening, low-pass, median,
and others?
• What are various ways of measuring image data, including distance, area,
volume, roundness, roughness, intensity?
• How can we identify and count objects in images?
• How can fluorescence images be best visualized and measured?
Who should attend? Every researcher who either performs digital imaging or
needs to better grasp the processes that have been applied to images that
are part of your lab’s research will benefit from attending this short web
presentation.

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
=====================
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.

---

Philip L. Hertzler
Associate Professor
Central Michigan University
Dept. of Biology, Brooks Hall 217
Mount Pleasant, MI 48859

Phone: [phone]
Fax: [phone]
Email: [hidden email]

"It is common sense to take a method and try it. If it fails, admit it frankly and try another. But above all, try something."
- Franklin D. Roosevelt

"Not everything that counts can be counted, and not everything that can be counted counts."
- attributed to Albert Einstein