Advanced Spectrum Analysis with Open Source Software

The Cornell Spectrum Imager (CSI) [1] was developed to make it easier to analyze large spectral datasets in a short manner of time. While commercial software solutions exist, they are often incomplete and locked to a single computer, making it difficult for multiple users to process data. In response to the need for an all-in-one, user-friendly package, CSI is manifested as a plugin for ImageJ, a widely-accepted, open source image-processing tool. Our spectrum analysis suite includes hyperspectral visualization and analysis techniques (Fig.1). In addition, we have developed readers for multidimensional spectral datasets in Gatan *.dm3 and FEI *.ser file formats.