1. A computer-implemented apparatus for determining a bounded confidence measure for an output of a process for assessing proteomic or genomic data samples, with the output represented as a set of signals, the apparatus comprising: (a) a memory that receives and stores digital data from a data source, wherein the digital data is generated from at least a portion of the signals in the set of signals; and (b) a processor coupled with the memory that accesses the digital data from the memory, and that determines a bounded confidence measure for each of at least a portion of the signals for which digital data is stored in the memory; wherein the bounded confidence measure is indicative of a confidence level in the quality of the output of the process for assessing proteomic or genomic data samples, and wherein the bounded confidence measure ranges between a predetermined set of values, the set of signals arranged as data points, with each data point having a perimeter, and each data point contained in an image snip having borders, the bounded confidence measure being an open perimeter bounded confidence measure for the data point, determined based on a percentage of the perimeter of a data point occupied by the border of the respective snip of the data point, the image snip comprising the data point and pixels in a bordered region surrounding the data point, and the bounded confidence measure stored in the memory.