Abstract: An apparatus for holding a tissue specimen during imaging is provided. The tissue specimen has a 3D geometry and a region of interest. The apparatus includes a cover panel and a specimen support structure. The cover panel has upper and bottom panel surfaces and a viewing aperture that extends between the upper and bottom panel surfaces. The specimen support structure is configured to support the tissue specimen in an imaging orientation. The specimen support structure is configured to permit alignment of the tissue specimen ROI with the viewing aperture. The apparatus is configurable in a secured configuration in which the specimen support structure is positionally fixed relative to the cover panel, the tissue specimen ROI is exposed through the viewing aperture for imaging, and the tissue specimen ROI is held motionless relative to the cover panel.

Abstract: A system and method for analyzing a sample using Raman spectral light includes a light source, a light detector, a narrow band pass filter and an analyzer. Within the system, excitation light is directed to interrogate the sample. The narrow band pass filter is positioned to receive Raman scattered light produced as a result of the interrogation. The light detector is positioned to receive the Raman scattered light that has passed through the at least one narrow band pass filter. The analyzer contains stored instructions that when executed cause the processor to a) control the light source; and b) process signals produced by the light detector to analyze the sample material, the signals representative of the intensity of the Raman scattered light received by the at least one light detector corresponding to one or more wavenumbers in a high wavenumber region of a Raman signal.

Abstract: A system for processing Raman scattering light from a sample is provided. The system includes a source, a digital mirror device (DMD), a detector, and an analyzer. The DMD is configured to reflect Raman scattering light and includes micromirrors selectively controllable between ON and OFF states. The detector is configured to detect Raman scattering light and to produce signals representative of the Raman scattering light. The analyzer is in communication with the light source, the DMD, the detector, and a memory storing instructions, which instructions when executed cause the processor to: a) control the light source to produce a beam of light for interrogating the sample; b) control the DMD to place in an ON or OFF state based on one or more known spectral shapes stored in the memory; and c) process the Raman scattering light reflected by the micromirrors in the ON state.

Abstract: A method and system for identifying a Raman spectrum component of an observed spectrum is provided. The observed spectrum is produced by interrogating a material such as a tissue sample with light at the one or more predetermined wavelengths, and the observed spectrum includes a background fluorescence component representative of fluorescent emissions resulting from the light interrogation and a Raman spectrum component representative of a Raman scattering resulting from the light interrogation. The method includes a) creating a reconstructed fluorescence spectrum representative of the background fluorescence component of the observed spectrum using one or more empirically determined fluorescent spectral profiles; and b) identifying the Raman spectrum of the observed spectrum using the reconstructed fluorescence spectrum.

Abstract: A system for processing Raman scattering light from a sample is provided. The system includes a source, a digital mirror device (DMD), a detector, and an analyzer. The DMD is configured to reflect Raman scattering light and includes micromirrors selectively controllable between ON and OFF states. The detector is configured to detect Raman scattering light and to produce signals representative of the Raman scattering light. The analyzer is in communication with the light source, the DMD, the detector, and a memory storing instructions, which instructions when executed cause the processor to: a) control the light source to produce a beam of light for interrogating the sample; b) control the DMD to place in an ON or OFF state based on one or more known spectral shapes stored in the memory; and c) process the Raman scattering light reflected by the micromirrors in the ON state.

Abstract: A method and system for identifying a Raman spectrum component of an observed spectrum is provided. The observed spectrum is produced by interrogating a material such as a tissue sample with light at the one or more predetermined wavelengths, and the observed spectrum includes a background fluorescence component representative of fluorescent emissions resulting from the light interrogation and a Raman spectrum component representative of a Raman scattering resulting from the light interrogation. The method includes a) creating a reconstructed fluorescence spectrum representative of the background fluorescence component of the observed spectrum using one or more empirically determined fluorescent spectral profiles; and b) identifying the Raman spectrum of the observed spectrum using the reconstructed fluorescence spectrum.

Abstract: A video processor integrates the processing of video and graphics data by restructuring the discrete blocks of luminance and chrominance component data associated with video image data (Y,U,V) into composite pixel values (YUYV), and performing the subsequent processing, in particular motion compensation, upon this composite data form. The discrete blocks of video image data are queue and processed in parallel to form a composite pixel value associated with each pixel within the image areas represented by the discrete blocks. By forming composite pixel values for reference data and error term data, common processing elements can be optimized and used for both video and graphics image processing. For example, the trilinear interpolator commonly used for 3-D graphics filtering and texturing can be used to form predicted macroblocks for motion compensation, and the specular adder used for graphics lighting effects can be used to process the motion compensation error terms.

Abstract: A method for processing video image data including a plurality of different image data types begins by providing tasks to be performed on each different image data type. The image data is divided into a plurality of groups based on the image data type. A set of arithmetic operations required to accomplish the tasks provided for the corresponding image data type is determined. Each arithmetic operation is assigned to one of a plurality of commonly used arithmetic units which performs the arithmetic operation, whereby each image data type is transformed in accordance with the corresponding provided tasks. The transformed image data of each group is combined, completing the processing.

Abstract: A memory access device is presented that synchronously transfers data between contiguous memory locations and a set of potentially non-contiguous registers, via a single load, or move, command. An address generator generates a series of contiguous memory addresses and a corresponding set of potentially non-contiguous register addresses in dependence upon the contents of a variable format command. In this manner, the data transfer efficiencies achievable by a block transfer of contiguous data elements can be achieved while simultaneously transferring the data to and from non-contiguous register locations. The memory access device may also include a data converter which optionally converts the data elements contained in memory to and from another form, such as from integer to floating point, during the data transfer process.

Abstract: A graphics processing device includes a variable performance setup engine that processes vertexes of polygons to create surface coefficients, and a rasterizer that processes the surface coefficients to create pixel values corresponding to each pixel location within each polygon. The variable performance setup engine is structured so as to provide the surface attributes of each polygon within a time that is correlated to the size of the polygon. In this manner, the overall polygon processing rate will be substantially related to the size of the polygon. By providing a short processing time for small polygons, and a longer processing time for larger polygons, the image processing rate is shown to be less dependent upon the sizes of the polygons that comprise the image. The invention thereby provides for an overall image processing rate that is substantially independent of the complexity of the image being rendered.