Abstract: This application discloses a computing system to obtain a wafer image of an electronic device having physical structures manufactured using one or more lithographic masks associated with a layout design describing the electronic design. The computing system can implement an unsupervised deep learning algorithm to process the wafer image to remove at least some noise from the wafer image, which generates a denoised wafer image. The computing system can extract contours corresponding to the physical structures of the electronic device from the denoised wafer image of the electronic device without use of the layout design or a mask design. The computing system can calibrate the layout design or the mask design describing the one or more lithographic masks based, at least in part, on the contours extracted from the denoised wafer image.

Abstract: The present disclosure related to a computer-implemented training and prediction method for defect detection, classification and segmentation in image data. The training method comprises providing an ensemble of learning structures, each learning structure comprising a feature extractor module, a region proposal module, a detection module, and a segmentation module. Each learning structure is trained individually and validated. Learning structures whose validation prediction score exceeds a predetermined threshold score are selected and their predictions combined, using a parametrized ensemble voting structure.

Abstract: The present invention includes the discovery of a strain of Mycobacterium comprising an expression vector encoding a di-adenylate cyclase enzyme. The Mycobacterium is selected from the group consisting of Mycobacterium tuberculosis, Mycobacterium bovis, or a combination thereof and the preferred strain of Mycobacterium is BCG. The preferred expression vector is a mycobacterial expression vector including an hsp60 promoter and a DNA sequence of diadenylate cyclase (disA), or a functional part thereof. The strains of Mycobacterium are used in therapeutic applications including tuberculosis and cancer.

Abstract: The disclosure relates generally to image processing. For example, the invention relates to a method and a device for de-noising an electron microscope (EM) image. The method includes the act of selecting a patch of the EM image, wherein the patch comprises a plurality of pixels, wherein the following acts are performed on the patch: i) replacing the value of one pixel, for example of a center pixel, of the patch with the value of a different, for example randomly selected, pixel from the same EM image; ii) determining a de-noised value for the one pixel based on the values of the other pixels in the patch; and iii) replacing the value of the one pixel with the determined de-noised value.

Abstract: The present invention includes the discovery of a strain of Mycobacterium comprising an expression vector encoding a di-adenylate cyclase enzyme. The Mycobacterium is selected from the group consisting of Mycobacterium tuberculosis, Mycobacterium bovis, or a combination thereof and the preferred strain of Mycobacterium is BCG. The preferred expression vector is a mycobacterial expression vector including an hsp60 promoter and a DNA sequence of diadenylate cyclase (disA), or a functional part thereof. The strains of Mycobacterium are used in therapeutic applications including tuberculosis and cancer.

Abstract: Described herein are methods of treating or preventing cancer in a subject comprising administering to the subject an effective amount of a bacteria comprising and expression vector encoding a di-adenylate cyclase enzyme.

Abstract: Described herein are methods of treating or preventing cancer in a subject comprising administering to the subject an effective amount of a bacteria comprising and expression vector encoding a di-adenylate cyclase enzyme.

Abstract: The present invention includes the discovery of a strain of Mycobacterium comprising an expression vector encoding a di-adenylate cyclase enzyme. The Mycobacterium is selected from the group consisting of Mycobacterium tuberculosis, Mycobacterium bovis, or a combination thereof and the preferred strain of Mycobacterium is BCG. The preferred expression vector is a mycobacterial expression vector including an hsp60 promoter and a DNA sequence of diadenylate cyclase (disA), or a functional part thereof. The strains of Mycobacterium are used in therapeutic applications including tuberculosis and cancer.

Abstract: The present invention includes the discovery of a strain of Mycobacterium comprising an expression vector encoding a di-adenylate cyclase enzyme. The Mycobacterium is selected from the group consisting of Mycobacterium tuberculosis, Mycobacterium bovis, or a combination thereof and the preferred strain of Mycobacterium is BCG. The preferred expression vector is a mycobacterial expression vector including an hsp60 promoter and a DNA sequence of diadenylate cyclase (disA), or a functional part thereof. The strains of Mycobacterium are used in therapeutic applications including tuberculosis and cancer.