Dr. Julia Frugoli, Professor in Department of Genetics & Biochemistry
If you handle data images (micrographs, gel images, heat maps, etc.), image processing is often a part of publication. Some processes are straight forward, some questionable, and some can lead to inadvertent research misconduct, but it's hard to know what all those buttons do at the level of data. The basic principles behind image processing as data handling will be discussed, so that you will know when you can safely use brightness, contrast, crop, gain, histograms, and other processes and why a TIFF and a JPEG are so different from a data perspective.
Target audience – faculty, staff, postdocs, graduate and undergraduate students.
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