Abstract: A computerized method of automatically capturing an image of a structure of interest in a tissue sample. The computer memory receives a first pixel data set representing an image of the tissue sample at a low resolution and an identification of a tissue type of the tissue sample, and selecting at least one structure-identification algorithm responsive to the tissue type from a plurality of structure-identification algorithms, at least two of which are responsive to different tissue types. Each structure-identification algorithm correlates at least one cellular pattern in a given tissue type with a presence of a structure of interest for the given tissue type. The method also includes applying the selected structure-identification algorithm to the first pixel data set to determine a presence of the structure of interest in the tissue sample, and capturing a second pixel data set at a high resolution.

Abstract: This invention relates to the discovery of nucleic acids and proteins associated with baldness and/or hair loss. The identification of these baldness-associated nucleic acids and proteins have uses in predicting the propensity for baldness of an individual and/or in determining the likelihood of baldness in an individual experiencing hair loss. In addition, the nucleic acids of the invention can be used can be used for gene therapy for delaying or stopping the progression of baldness, and/or for reversing baldness.

Abstract: This invention relates to the discovery of nucleic acids and proteins associated with the aging processes, such as cell proliferation and senescence. The identification of these aging-associated nucleic acids and proteins have diagnostic uses in detecting the aging status of a cell population as well as applications for gene therapy and the delaying of the aging process.