Abstract: A method for generating an image of a region of interest in a biological sample comprising the steps of: generating a first image including the region of interest of the biological sample having undergone a first protocol but not a second protocol; and generating a second image including the region of interest of the biological sample after having undergone a second protocol; wherein the region of interest is smaller than said sample. Also provided is a method of analyzing a biological sample, comprising providing an image of the biological sample according to the method for generating an image of a region of interest in a biological sample, and analyzing the biological sample from the image. Further provided are system and kit that comprise the means for executing the novel methods.

Abstract: A cyber-security improvement platform database may store electronic records including information, received from remote submitting devices, associated with vulnerability data for computing elements. Information associated with first vulnerability data for a first computing element may be retrieved from the database and verified. Information about the first vulnerability data may then be recorded in a secure, distributed transaction ledger, and a crypto-currency payment may be transferred in connection with the recorded information. Similarly, the electronic records may further include fix data for computing elements. In this case, first fix data associated with the first vulnerability data may be retrieved, verified, and applied in connection with the first computing element. Additional information, about the first fix data, may then be recorded in the transaction ledger and an additional crypto-currency payment may be transferred in connection with the recorded additional information.

Abstract: A method for providing a composite image of a single biological sample, comprising the steps of generating a first image of the biological sample, generating a second image of the biological sample, and generating a composite image that provides the relative location of both the target protein and the target nucleic acid. Also provided is a method of analyzing a biological sample, comprising providing a composite image of the biological sample according to the method for providing a composite image, and analyzing the expression of the protein and the nucleic acid sequences of interest from the composite image. Further provided are system and kit that comprise the means for executing the novel methods.

Abstract: A method for generating an image of a region of interest in a biological sample comprising the steps of: generating a first image including the region of interest of the biological sample having undergone a first protocol but not a second protocol; and generating a second image including the region of interest of the biological sample after having undergone a second protocol; wherein the region of interest is smaller than said sample. Also provided is a method of analyzing a biological sample, comprising providing an image of the biological sample according to the method for generating an image of a region of interest in a biological sample, and analyzing the biological sample from the image. Further provided are system and kit that comprise the means for executing the novel methods.

Abstract: Image quality is assessed for a digital image that is a composite of tiles or other image segments, especially focus accuracy for a microscopic pathology sample. An algorithm or combination of algorithms correlated to image quality is applied to pixel data at margins where adjacent image segments overlap and thus contain the same content in separately acquired images. The margins may be edges merged to join the image segments smoothly into a composite image, and typically occur on four sides of the image segments. The two versions of the same image content at each margin are processed by the quality algorithm, producing two assessment values. A sign and difference value are compared with other image segments, including by subsets selected for the orientation of the margins on sides on the image segments. The differences are mapped to displays. Selection criteria determine segments to be re-acquired.

Abstract: Image quality is assessed for a digital image that is a composite of tiles or other image segments, especially focus accuracy for a microscopic pathology sample. An algorithm or combination of algorithms correlated to image quality is applied to pixel data at margins where adjacent image segments overlap and thus contain the same content in separately acquired images. The margins may be edges merged to join the image segments smoothly into a composite image, and typically occur on four sides of the image segments. The two versions of the same image content at each margin are processed by the quality algorithm, producing two assessment values. A sign and difference value are compared with other image segments, including by subsets selected for the orientation of the margins on sides on the image segments. The differences are mapped to displays. Selection criteria determine segments to be re-acquired.