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Tuesday, January 14, 2014 - 08:30 to 13:00

The Introduction to Scientific Digital Images workshop will be held on Tuesday, January 14, 2014 from 8:30am to 1pm in Drachman Hall B111.  The workshop provides a foundation for making good scientific and ethical decisions for working with digital image data.  Open to students, staff, appointed professionals, faculty, and invited off-campus guests.

Online registration for the workshop.

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Monday, December 9, 2013 - 08:00 to Wednesday, January 15, 2014 - 16:00

Imagine examining your samples with a fluorescence microscope at twice the optical resolution of existing confocal or deconvolution microscopes.  What would you see that you might not have appreciated before?

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Tuesday, November 19, 2013 - 12:00 to 13:00

Many researchers would love to image deeper into fluorescently labeled, sectioned tissue without the need to use two-photon microscopy.  Deep imaging suffers from the effects of a number of optically-related artifacts.  Several recent techniques have been proposed to alter the optical properties of the sample (CLARITY, SCALE, etc) and greatly improve the ability to image deeper.  Shane Andrews (Olympus America) will review these techniques, sharing their pluses and minuses, as well as tips (including new Olympus specialty objective lenses) for success.

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Monday, September 16, 2013 - 08:00 to Thursday, September 19, 2013 - 16:00

Presentation: Raman-AFM: towards nanoscale chemical and structural imaging, Wed 9/18/13, 4pm in the Koffler Building, Room 216.

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Thursday, August 22, 2013 - 08:30 to 13:00

The primary goal of this workshop is to show that scientific digital images are really data, to illustrate what can be done with those data, and the ease with which they can be compromised.  Presentations will include what constitutes a digital image, what goes into acquiring good images, as well as jargon and concepts associated with digital images.  These include such topics as pixels, resolution, over-saturation, color space, image format, bit depth, and image processing filters.

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