CMC Contrast AB was established in April 2000 with the purpose to develop targeted contrast media for MRI.

Kjaya is a company that received a SBIR Phase I grant for a project entitled: Semi-Autonomous Adaptive Neural and Genetic Segmentation of Medical Images. Their Phase I project will implement a physician-assisted, real-time adaptive system for the segmentation of anatomical structures in 3D medical image data. Medical image segmentation seeks to change the representation of an anatomical structure, making it more easily analyzed. Because of the extreme variability of these structures in biological systems, current idiosyncratic manual methods currently in use are tedious, time consuming, and error prone. Image segmentation cannot in general be programmatically solved. The proposed system is a Neural Network (NN) based adaptation of the individual data using parallel Graphics Processing Units (GPUs) and coupled with a Genetic Algorithm (GA) based adaptation across GPU cores. The system will build a diagnostically useful segmentation of the anatomical feature within seconds from an area of interest outlined by a physician using a Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) scan. Fast growth in medical imaging overwhelms available diagnosticians. An intuitive and inexpensive system to quickly and accurately deliver diagnostic relevant segmentation of medical images offers tremendous commercial value. Currently, each scan requires approximately 50 minutes of manual preparation. The diagnosis and treatment of an estimated 20 percent of diseases benefit from medical imaging. Newer scanning technologies have increased in resolution, but such techniques have not made segmenting easier or faster. The proposed method will enable more diagnostics to be done with the quality controlled directly by physicians.

Adnavance Technologies Inc is developing enabling technology applications that use the conductivity properties of both normal and novel metallic forms of DNA aimed at large biosensormolecular diagnostics and energy generationmanagement markets

LUX biotechnology (LUX) develops and distributes high quality calibration tools and reagents for luminescence and fluorescence applications.

Body Surface Translations is a biomedical device company focused on discovery and marketing of imaging technology that can be used to estimate the weight of an animal. The initial target markets will be agribusiness (swine and cattle) but opportunities in other aspects of agriculture and human health are envisioned as well.

Nanoprobes was founded to develop the most sensitive reagents and technology for detecting biological molecules. The company's gold labeling technology uses chemically cross-linked metal clusters and nanoparticles as labels. Unlike conventional immunogold probes, in which colloidal gold particles are electrostatically adsorbed to antibodies and proteins, the company's gold labels are uncharged molecules which are cross-linked to specific sites on biomolecules. This aims to give the company's probes a range and versatility which is not available with colloidal gold. The company's labels can be attached to any molecule with a reactive group -- proteins, peptides, oligonucleotides, small molecules and lipids -- for detection and localization. Other labels can be combined with the company's gold labels; the company's FluoroNanogold probes combine Nanogold and fluorescein into a single probe for imaging a specimen both by fluorescence and electron microscopy. New probes can be engineered based on any fragment of a naturally occurring biomolecule, and the label can be positioned away from the binding site so it does not interfere with binding. The company's 1.4 nm Nanogold probes have been cited in over 80 publications, and the company are now developing larger cross-linkable labels in order to offer the company's customers larger covalently linkable probes with the same advantages.