Talita Perciano, with the Lawrence Berkeley National Laboratory Computational Research Division's Visualization Group, says she is updating the R Image Processing Analysis (RIPA) tool to operate on massively parallel clusters at the National Energy Research Scientific Computing facility and execute advanced image-processing tasks. Perciano says the latest RIPA iteration enables users to perform some essential image processing in parallel, but the next version will conduct more complex image-processing chores. It will feature new algorithms for pattern recognition and feature extraction, and it will accommodate three-dimensional images. Perciano created RIPA as a contribution to a community effort to create R, an esoteric, open source statistical analysis language, and says it was originally designed for satellite image analysis. She notes the update dovetails with Berkeley Lab's need to manage larger and more complex experimental and simulated scientific datasets. To read further, please visit http://crd.lbl.gov/news-and-publications/news/2014/multidimensional-image-processing-and-analysis-in-r/.