Abstract
Digital optical microscopy, coupled with parallel processing and a large arsenal of labeling techniques, offers tremendous values to localize, identify, and characterize cells and molecules. This generates many image informatics challenges in requiring new algorithms and tools to extract, classify, correlate, and model image features and content from massive amounts of cellular and molecular images acquired. Image informatics aims to fill this gap. Coupling automated microscopy and image analysis with biostatistical and data mining techniques to provide a system biologic approach in studying the cells, the basic unit of life, potentially leads to many exciting applications in life and health sciences. In this presentation, we describe certain new system biology applications enabled by image informatics technology.
| Original language | English (US) |
|---|---|
| Article number | 29 |
| Pages (from-to) | 138-145 |
| Number of pages | 8 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5637 |
| DOIs | |
| State | Published - 2005 |
| Event | Electronic Imaging and Multimedia Technology IV - Beijing, China Duration: Nov 8 2004 → Nov 11 2004 |
Keywords
- Drug Discovery
- High Throughput Cell Imaging
- Image Informatics
- Systems Biology
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering