Abstract: Interferometric focusing (IF), rather than conventional geometric focusing, of excitation light onto a guide-star that is embedded deeply in tissue, increases its fluorescence intensity. The method can extend the depth of wavefront measurement and improve correction inside of tissues because of its ability to suppress both scattering of diffuse light and aberration of ballistic light. The results showed more than two times improvement in SNR and RMS error of the wavefront measurement. Although only ballistic light in the excitation path is corrected, the intensity after wavefront correction increased by 1.5 times. When applying IF to a two-photon microscope with a near infra-red laser, this method would further extend the measurement depth and achieve high SNR for the wavefront sensor.

Abstract: Interferometric focusing (IF), rather than conventional geometric focusing, of excitation light onto a guide-star that is embedded deeply in tissue, increases its fluorescence intensity. The method can extend the depth of wavefront measurement and improve correction inside of tissues because of its ability to suppress both scattering of diffuse light and aberration of ballistic light. The results showed more than two times improvement in SNR and RMS error of the wavefront measurement. Although only ballistic light in the excitation path is corrected, the intensity after wavefront correction increased by 1.5 times. When applying IF to a two-photon microscope with a near infra-red laser, this method would further extend the measurement depth and achieve high SNR for the wavefront sensor.

Abstract: Interferometric focusing (IF), rather than conventional geometric focusing, of excitation light onto a guide-star that is embedded deeply in tissue, increases its fluorescence intensity. The method can extend the depth of wavefront measurement and improve correction inside of tissues because of its ability to suppress both scattering of diffuse light and aberration of ballistic light. The results showed more than two times improvement in SNR and RMS error of the wavefront measurement. Although only ballistic light in the excitation path is corrected, the intensity after wavefront correction increased by 1.5 times. When applying IF to a two-photon microscope with a near infra-red laser, this method would further extend the measurement depth and achieve high SNR for the wavefront sensor.

Abstract: Interferometric focusing (IF), rather than conventional geometric focusing, of excitation light onto a guide-star that is embedded deeply in tissue, increases its fluorescence intensity. The method can extend the depth of wavefront measurement and improve correction inside of tissues because of its ability to suppress both scattering of diffuse light and aberration of ballistic light. The results showed more than two times improvement in SNR and RMS error of the wavefront measurement. Although only ballistic light in the excitation path is corrected, the intensity after wavefront correction increased by 1.5 times. When applying IF to a two-photon microscope with a near infra-red laser, this method would further extend the measurement depth and achieve high SNR for the wavefront sensor.

Abstract: Systems and methods for landmark correction in Magnetic Resonance Imaging (MRI) are provided. One method includes acquiring at least one calibration image or at least one localizer image of an object, identifying in the calibration or localizer images a region of the object as a reference point, wherein the reference point defines a landmark position. The method further includes determining an offset between an initial landmark position and the identified landmark position. The method also includes using the determined offset for MRI.

Abstract: The present techniques include methods and systems for finding correspondences between tissue spots in tissue microarray serial sections belonging to the same recipient block. The present techniques may also be used to relate individual tissue cores to clinical information. Using either a whole slide image or the relative x-y coordinates of the tissue spots on the slide, individual tissue spots in different tissue microarrays may be linked to one another and their clinical information.

Abstract: A method for automated landmarking comprising obtaining one or more localizer images of a patient, comparing the one or more localizer images with a reference image, computing a difference between the one or more localizer images and the reference image, determining a desired position of the patient based on the computed difference, and maneuvering the patient, a support platform, or both the patient and the support platform to the desired position for imaging an anatomical region of interest in the patient.

Abstract: A method and system for registering two images is described. The method comprises synthesizing projections from two volumetric images to be registered, estimating a plurality of two dimensional (2D) deformable fields from the projections and generating a three dimensional (3D) deformable fields using a plurality of backprojections of the 2D deformable fields.

Abstract: Systems and methods for landmark correction in Magnetic Resonance Imaging (MRI) are provided. One method includes acquiring at least one calibration image or at least one localizer image of an object, identifying in the calibration or localizer images a region of the object as a reference point, wherein the reference point defines a landmark position. The method further includes determining an offset between an initial landmark position and the identified landmark position. The method also includes using the determined offset for MRI.

Abstract: A method, system and apparatus for automatically setting a landmark for brain scans are described. In one embodiment, a method for medical image processing is described. The method comprises obtaining, by an imaging device, at least one image of a head of a subject. In addition, the method also comprises identifying, by a computer-based system, a reference feature in the at least one image associated with the head. The method also comprises automatically setting, by the computer-based system, a landmark based, at least in part, upon the reference feature.

Abstract: An imaging workflow system includes a workstation for acquiring patient information and requesting a patient scan. The request for a patient scan includes scan information for performing the scan. A registration module receives the scan information and the patient information. The registration module automatically schedules the patient scan based on the scan information and the patient information. The registration module determines an imaging protocol based on the patient information and the scan information. An imaging module within an imaging system receives the imaging protocol. The imaging module automatically sets scan parameters based on the imaging protocol. The imaging system scans the patient based on the scan parameters to acquire image data. A user interface controls the patient scan. The user interface includes a display to display images generated from the acquired image data.

Abstract: The present techniques provide systems and methods for registering images of tissue spots on a tissue microarray (TMA). In studies involving multiple biomarkers being studied on the same TMA, the TMA slide is removed from the microscope, stained, and then imaged, often multiple times. The present techniques relate to validation of the registration of the acquired images of the same TMA. An automatic approach to register the images and detect registration failures as provided herein may enhance the rapid analysis of the tissues. Artifacts such as tissue folding and tissue loss are also determined automatically.

Abstract: A variable view imaging system for observation of micro object with variable view orientation and position includes a telecentric lens group, a scanning mirror, wedge prisms, a deformable mirror and related optical elements. The combination of a scanning mirror and a telecentric lens group decouples the motion of scanning mirror and the view angle. The view angle is determined only by the angle of the wedge prisms. This design increases the zenith angle of the view and simplifies the kinematics of the system. The wedge prisms and the scanning mirror can supply a flexible view in a compact way. The wavefront error induced by the wedge prisms is corrected by the deformable mirror. In order to achieve the desired view state during operation, the scanning mirror angle and the wedge prisms angle are calculated iteratively based on the kinematics and Jacobian matrix of system.

Abstract: A method for determining 3D distances on a 2D pixelized image of a part or object includes acquiring a real 2D pixelized image of the object, creating a simulated image of the object using the 3D CAD model and the 2D pixelized image, determining a specified cost function comparing the simulated image with the real 2D pixilated image and repositioning the simulated image in accordance with iterated adjustments of a relative position between the CAD model and the 2D pixilated image to change the simulated image until the specified cost function is below a specified value. Then, the workstation is used to generate a 3D distance scale matrix using the repositioned simulated image, and to measure and display distances between selected pixels on a surface of the real image using 2D distances on the 2D pixelized image of the object and the 3D distance scale matrix.

Abstract: The present techniques provide fully automated methods for quantifying the location, strength and percent of expressed target molecules or other biological markers in immunohistochemically stained biological samples. The samples may be automatically segmented, for example into subcellular compartments, from images of compartmental markers. Then, the distribution of a target molecule on each of these compartments is calculated that includes the percentage and strength of expression. This is different than existing intensity or ratio based methods where abundant low expression levels are indistinguishable from scarce high expression levels.

Abstract: A signal processing method include steps initializing a residual data signal representative of an acquired data signal, determining a significant coefficient corresponding to the residual data signal, updating the residual data signal using the significant coefficient to generate updated residual data signal, iteratively determining significant coefficients to generate a plurality of significant coefficients using the updated residual data signal, updating the plurality of significant coefficients by using a successive approximation technique, to improve the numerical accuracy of the significant coefficients and reconstructing a data signal using the updated plurality of significant coefficients.

Abstract: Techniques for removing image autoflourescence from fluorescently stained biological images are provided herein. The techniques utilize non-negative matrix factorization that may constrain mixing coefficients to be non-negative. The probability of convergence to local minima is reduced by using smoothness constraints. The non-negative matrix factorization algorithm provides the advantage of removing both dark current and autofluorescence.

Abstract: A system for analyzing tissue samples, that generally comprises, a storage device for at least temporarily storing one or more images of one or more cells, wherein the images comprise a plurality of channels; and a processor that is adapted to determine the extent to which a biomarker may have translocated from at least one subcellular region to another subcellular region; and then to generate a score corresponding to the extent of translocation.

Abstract: A method of imaging comprises performing a scout image of an object and aligning major regions of interest within the object by comparing the scout image with a pre-determined atlas image. In a further embodiment, a method of imaging using a computed tomography (CT) scanner is provided and comprises performing a scout image of a subject and aligning major anatomical regions of interest within the subject by comparing the scout image with a pre-determined atlas image. Further, an imaging system for us with a computed tomography (CT) imaging device is provided and comprises a processor configured to perform aligning major anatomical regions of interest within a subject by comparing a scout image with a pre-determined atlas image, and wherein the major anatomical regions are used for automated localization for Scan Range and/or Exam split.

Abstract: Methods and systems for segmenting images, wherein the image pixels are categorized into a plurality of subsets using one or more indexes, then a log-likelihood function of one or more of the indexes is determined, and one or more maps are generated based on the determination of the log-likelihood function of one or more of the indexes.