Visualization and Analysis of Large Data Collections: A Case Study Applied to Confocal Microscopy Data
This paper proposes an approach in which interactive visualization and analysis are combined with batch tools for the processing of large data collections. Large and heterogeneous data collections are difficult to analyze and pose specific problems to interactive visualization. Application of the traditional interactive processing and visualization approaches as well as batch processing encounter considerable drawbacks for such large and heterogeneous data collections due to the amount and type of data. Computing resources are not sufficient for interactive exploration of the data and automated analysis has the disadvantage that the user has only limited control and feedback on the analysis process. In the approach, an analysis procedure with features and attributes of interest for the analysis is defined interactively.