Abstract: A network architecture and associated distributed workplace environment is described in accordance with various embodiments of the present invention. In one embodiment, a distributed workplace comprises a network of one or more office buildings in a greater metropolitan area. Each office building is divided up into distinct spaces for each of a group of employers or government agencies. Each selected employer and agency is networked via redundant and secure high speed connections to existing centralized locations. Employees in a distributed workplace office use voice, data and video services and work-sharing programs. A method of selecting an optimized physical location for the shared networked workplace is also described.

Abstract: A network architecture and associated distributed workplace environment is described in accordance with various embodiments of the present invention. In one embodiment, a distributed workplace comprises a network of one or more office buildings in a greater metropolitan area. Each office building is divided up into distinct spaces for each of a group of employers or government agencies. Each selected employer and agency is networked via redundant and secure high speed connections to existing centralized locations. Employees in a distributed workplace office use voice, data and video services and work-sharing programs. A method of selecting an optimized physical location for the shared networked workplace is also described.

Abstract: We disclose measurement systems and methods for measuring analytes in target regions of samples that also include features overlying the target regions. The systems include: (a) a light source; (b) a detection system; (c) a set of at least first, second, and third light ports which transmit light from the light source to a sample and receive and direct light reflected from the sample to the detection system, generating a first set of data including information corresponding to both an internal target within the sample and features overlying the internal target, and a second set of data including information corresponding to features overlying the internal target; and (d) a processor configured to remove information characteristic of the overlying features from the first set of data using the first and second sets of data to produce corrected information representing the internal target.