1. A method for capturing and analyzing process monitoring data of a measuring system, the method comprising: performing with one or more sensors of the measuring system a measuring operation of a series of basically identical objects, the measuring operation comprising a multitude of measuring sequences, each measuring sequence comprising the measuring of values of features of an object of the series; performing a multitude of monitoring operations, wherein each monitoring operation comprises capturing monitoring data during a measuring sequence, the monitoring data of each measuring sequence including at least one image comprising the measuring system and/or a measurement environment; selecting a subset of measuring sequences from the multitude of measuring sequences, the subset comprising no more than a tenth of a total number of measuring sequences of a given period of time; and visualizing an image sequence comprising the images of the monitoring data of the measuring sequences of the subset, wherein the order of the images in the image sequence is optimized for determining changes occurring in the measuring system and/or in the measurement environment, wherein: the measuring sequences of the subset are distributed evenly over the multitude of measuring sequences, wherein the image sequence provides the images in a chronological order; or for preventing artefacts, particularly for preventing aliasing effects, the subset of the measuring sequences are distributed unevenly over the multitude of measuring sequences, wherein the distribution of monitoring operations is at least partially subject to a randomization function.