Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: Operational means for automatic microscopic detection and analysis of fluorescent signals from a treated biological sample.

Abstract: An embodiment is disclosed for performing the image processing for analyzing the results of a fluorescence in situ hybridization (FISH) microscopic automated sample analysis to determine specific chromosomal characteristics.

Abstract: An embodiment is disclosed for performing the image processing for analyzing the results of a fluorescence in situ hybridization (FISH) microscopic automated sample analysis to determine specific chromosomal characteristics.

Abstract: An automatic microscope is disclosed which incorporates dynamic scanning of the microscope slide and other interchangeable optical path components.

Abstract: In an ultrasound imaging system, a displacement vector is estimated for a pattern of samples throughout an imaged region of interest (ROI) by comparing two successive B-mode frames. The displacement vector is preferably estimated using block matching. Once displacement vectors are estimated for samples throughout the ROI, corresponding strain values are estimated, which indicate the degree of elasticity of the respective tissue portions. An image is then displayed showing the strain distribution within the ROI as it is stressed, for example, by the user pressing the ultrasound transducer against the patient's body. The invention allows for both real-time and post-processed generation of elasticity displays, even based on the same body of acquired frame data. The real-time display is preferably generated using lower quality block matching whereas the post-processed elasticity calculations are carried out using high-quality techniques.

Abstract: A method for motion estimation within biological tissue is disclosed. The method involves acoustically coupling a transducer to a target biological tissue, which transducer emits an ultrasonic signal and collects the energy back-scattered by the target issue. A first set of energy data is collected and stored, then target tissue is axially compressed and a second set of ultrasonic energy data is collected and stored. One of the first and second data sets is warped to account for the anticipated compression forming a warped data set. This warped data set is cross-correlated with the unwarped one of the first and said second data sets to obtain a fine scale displacement of said target biological tissue from the displacement estimated by the warping. This fine scale displacement is summed with the warped data set to obtain a total axial displacement. A gradient of the total axial displacement is taken and used to form a strain image. An apparatus for practicing this method is also disclosed.