Abstract: A feature of at least one object from a first computer database is selected with a graphical user interface. The feature is characterized by a value. The feature can be selected from a table in which the feature is represented as a field in the table. A subrange of values of the feature is selected with the graphical user interface from a graph of a range of values of the feature. The graph can be a histogram, a scatter plot, or the like. The query is constructed so that it can identify an object from at least one of the first computer database and a second computer database if the value of the feature of the object is within the subrange of values.

Abstract: A method, system, and computer program product for managing data associated with a document stored in an electronic form. The document can be a part of a file. Computer processed algorithms, user-operated computer graphics tools, or both can be used to derive data from or assign data to the document or the file. First data is derived from the document, second data is assigned to the document, or both. The first data, the second data, or both are organized as attributes of an object of a first computer database. At least one attribute is organized as a child object of the object. The at least one attribute is associated with a feature of the document. Optionally, an attribute is moved from the object of the first computer database to an object of a second computer database and an address of a location in a memory at which the object of the second computer database is stored is added as a new attribute of the object of the first computer database.

Abstract: A method, system, and computer program product for managing data associated with a document stored in an electronic form. The document can be a part of a file. Computer processed algorithms, user-operated computer graphics tools, or both can be used to derive data from or assign data to the document or the file. First data is derived from the document, second data is assigned to the document, or both. The first data, the second data, or both are organized as attributes of an object of a first computer database. At least one attribute is organized as a child object of the object. The at least one attribute is associated with a feature of the document. Optionally, an attribute is moved from the object of the first computer database to an object of a second computer database and an address of a location in a memory at which the object of the second computer database is stored is added as a new attribute of the object of the first computer database.

Abstract: The present invention provides methods, a system, and a program product for the rapid detection and correction of spherical aberration in microscopy systems. More specifically, the present invention empirically derives a pupil function, adaptively corrects PSF parameters, and automatically detects the coefficient for spherical aberration.

Abstract: A system and method for establishing an aggregate degree of brightness for each primary color to create a composite color digital image. One of a plurality of primary colors is selected. A color digital image is captured with a color digital camera. The aggregate degree of brightness for the selected primary color is determined. The determined aggregate degree of brightness for the selected primary color is compared with the desired degree of brightness for the selected primary color. If the determined aggregate degree of brightness is not within a tolerance band surrounding the desired degree of brightness, then an adjustment is made to an exposure time controller of the color digital camera. This process is repeated until the determined aggregate degree of brightness is within the tolerance band surrounding the desired degree of brightness.

Abstract: A method, system, and product for analyzing a digitized image of an array to create an image of a grid overlay. The method comprising the steps of locating the center of each object on the array, determining a standard shape and size for the objects, and creating a final image of the grid overlay. Preliminary procedures can be used to normalize the image so that optimal results can be obtained. Sub-grids can be identified and objects repositioned within their corresponding sub-grids. Noise can be removed by filtering processes based on object size, intensity, and location.