Abstract: A spectroscopic scanning device, a portable spectroscopic scanning system, and methods for using the spectroscopic scanning device are described that include at least one focusing element configured to collect light, a beam-steering element configured to direct a portion of the collected light from the at least one focusing element, and a detector configured to receive the directed light from the beam-steering element, wherein the beam-steering element is operable to successively select portions of light from a plurality of locations within its field of regard.

Abstract: A spectroscopic scanning device, a portable spectroscopic scanning system, and methods for using the spectroscopic scanning device are described that include at least one focusing element configured to collect light, a beam-steering element configured to direct a portion of the collected light from the at least one focusing element, and a detector configured to receive the directed light from the beam-steering element, wherein the beam-steering element is operable to successively select portions of light from a plurality of locations within its field of regard.

Abstract: A system and method are provided for securely manufacturing a device at a foundry. For example, an integrated circuit chip may be securely fabricated at an untrusted foundry by later verifying authenticity of the integrated circuit chip based on a valid usage of an original source code file associated with a semiconductor manufacturing process of the integrated circuit chip. The integrated circuit chip may be authenticated by matching a first set of unique daughter codes generated during fabrication with a second set of unique daughter codes generated independently by some entity other than the foundry. In this way, a trusted electronics integrator may compare the first and second unique daughter codes to nondestructively determine whether the integrated circuit chip is a trusted device or a tampered device.

Abstract: A method for determining concentration of an analyte in a sample includes generating a spectrum of a selected analyte and interferents, generating a spectrum of an unknown sample, computing first and second derivatives of the sample spectrum, deriving a matrix model that includes the analyte spectrum and the derivatives, and applying the matrix model to the sample spectrum so as to yield a parameter representing concentration of the selected analyte in the unknown sample. Multiple linear least squares regression is utilized to fit the model and calculate the parameter.