Fast Line-Based Imaging of Small Sample Features

This project aims to reduce the time required to attain more detailed scans of small interesting regions present in a quick first-pass sample image. In particular, we concentrate on high fidelity imaging of small sample features via hyperspectral Raman imaging (e.g., small scale compositional variations in bone tissue [4]). The current standard procedure for high quality hyperspectral Raman imaging of small sample features consists of four steps: First-Pass Imaging, Detail Identification, Planning, and finally Detail Imaging. Traditionally, Detail Imaging and Planning have been carried out manually by human personnel—after acquiring some quick lowquality data in First-Pass Imaging, a researcher looks for interesting features (Detail Identification) and decides how to acquire higher-quality data for the interesting features (Planning), which is done in the final Detail Imaging phase. In this paper we will discuss automating the Detail Identification and Planning steps, resulti...

• Type: Conference
• Year: 2007
• Where: ICASSP
• Authors: Mark A. Iwen, Gurjit S. Mandair, Michael D. Morris, Martin Strauss
• Keywords: Detail Identification, Detail Imaging, Hyperspectral Raman Imaging, ICASSP 2007, Signal Processing