Today, I went to an interesting seminar presented by Christian Dietz from Konstantz University and KNIME. He presented his work on using KNIME for image processing applications. KNIME is open-source (free!) software where "nodes" can be connected to perform a prescribed task. It is kind of like macros or plugins in ImageJ, where you automate things to run a series of operations on a set of images. What I found interesting about KNIME was that it serves as a sort of translator, loading data from a variety of sources and then pulling from different image processing tools (ImageJ, CellProlifer, Python, etc.) as dictated by the user, all in one central graphical interface. I plan on trying it out for some image processing applications to see how it compares to running things in ImageJ directly.
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AuthorColin Paul is a CRTA Fellow at the National Cancer Institute, National Institutes of Health. Archives
August 2019
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