1. A computerized method comprising: receiving a first physical sample; imaging the first physical sample with a first imaging means to generate a first sample first aspect data; storing the first sample first aspect data in a datastore; imaging the first physical sample with a second imaging means to generate a first sample second aspect data; storing the first sample second aspect data in the datastore; generating a first order first sample transformed data by running at least one data transformation algorithm on at least one of the first sample first aspect data and the first sample second aspect data, wherein the first sample second aspect data are organized into a second data array, and wherein the data transformation algorithm moves in a stepwise fashion though at least one of the first data array and the second data array performing mathematical calculations using values in individual and adjacent cells of the at least one data array to generate a different data array; wherein the data transformation algorithm includes one or more of calculating a median value, calculating a spread of values, calculating a sum of values, and calculating a standard deviation; and storing the first order first sample transformed data in the datastore.