Abstract: A magnetic stack includes a first element including a ferromagnetic layer; a second element including a metal layer able to confer on the assembly formed by the first and the second elements a magnetic anisotropy perpendicular to the plane of the layers. The first element further includes a refractory metal material, the second element being arranged on the first element.

Abstract: A synthetic antiferromagnetic layer includes a first ferromagnetic layer containing an amorphizing element, the first ferromagnetic layer having a first structural symmetry; a second ferromagnetic layer having a second structural symmetry; wherein the first and the second ferromagnetic layers are antiferromagnetically coupled by a trifunctional non-magnetic multi-layered structure, the antiferromagnetic coupling being an Ruderman-Kittel-Kasuya-Yosida (RKKY) coupling, the non-magnetic multi-layered structure including at least two non-magnetic layers, the non-magnetic multilayered structure being at least partially nano-crystalline or amorphous in order to ensure a structural transition between the first ferromagnetic layer having the first structural symmetry and the second ferromagnetic layer having the second structural symmetry, the non-magnetic multilayered structure being adapted to absorb at least part of the amorphizing element out of the first ferromagnetic layer in contact with the non-magnetic multi

Abstract: A magnetic stack includes a first element including a ferromagnetic layer; a second element including a metal layer able to confer on the assembly formed by the first and the second elements a magnetic anisotropy perpendicular to the plane of the layers. The first element further includes a refractory metal material, the second element being arranged on the first element.

Abstract: A novel modification to the order statistics filters called the Adaptive Weighted-Local-Difference Order Statistics is shown that will act as a generic framework for the design of adaptive filters suitable for specific signal processing applications. To demonstrate the design of filters using this framework two implementations were defined and evaluated: Edge Orientation Adaptive Weighted-Local-Difference Median Filter (EOAWLDMF) and Luminance-Similarity Adaptive Weighted-Local-Difference Median Filter (LSAWLDMF) for restoration of noisy images.

Abstract: A novel modification to the order statistics filters called the Adaptive Weighted-Local-Difference Order Statistics is shown that will act as a generic framework for the design of adaptive filters suitable for specific signal processing applications. To demonstrate the design of filters using this framework two implementations were defined and evaluated: Edge Orientation Adaptive Weighted-Local-Difference Median Filter (EOAWLDMF) and Luminance-Similarity Adaptive Weighted-Local-Difference Median Filter (LSAWLDMF) for restoration of noisy images.

Abstract: A digital microscope comprises a housing with an image acquisition, an image processing, and a network communication (APC) module. The APC module can further comprise an image capture unit, coupled to an image sensor with a view to a subject on a slide, the image capture unit receiving an image of the subject. The APC module also comprises an image processing unit, coupled to the image capture unit, the image processing unit enhancing the image with classifications. Also, a network interface of the APC module, coupled to the image processing unit and to a network, the network interface sending the enhanced image across to the network and to receive control commands, the control commands associated with the view of the subject.

Abstract: Method and system for analyzing breast carcinoma using microscopic image analysis of fine needle aspirates. The method includes extracting a G-plane image from an image. The method also includes de-noising the G-plane image. Further, the method includes balancing histogram imbalance associated with the G-plane image. Furthermore, the method includes generating a binary image from the G-plane image. The method also includes filtering the binary image to yield a nuclear map. Further, the method includes extracting a nuclear contour from the nuclear map. Moreover, the method includes determining one or more parameters from at least one of the G-plane image, the nuclear map and the nuclear contour to enable detection of the breast lesion as one of malignant and non-malignant.

Abstract: Method and system for analyzing an image of an oral sample. The method includes receiving the image of the oral sample. The method also includes converting the image to a gray-scale image. Further, the method includes de-noising the gray-scale image. Furthermore, the method includes enhancing epithelial region in the gray-scale image. Also, the method includes generating a binary image from the gray-scale image. The method further includes detecting boundary of the epithelial region in the binary image. Furthermore, the method includes extracting the boundary of the epithelial region. The method also includes extracting the basal cell nuclei in the epithelial region. Further, the method includes determining one or more parameters of the epithelial region and the basal cell nuclei to enable detection of the oral sample as one of pre-malignant and non-malignant.