For the second workflow, feature detection and componentization were performed on fish samples coming from brain and liver tissues. Alignment and blank filtering have been performed on both the feature lists and components, which were finally clustered to investigate the potential of separating the two tissues (Figure ). First the brain and liver samples with their corresponding blanks were aligned separately. Figure shows the aligned features for the brain samples. Here, the similarities and differences between the tissue sample features can be seen. Additionally, there are a few frequently occurring features found in both of the tissues and the blank samples, which are not likely to contain relevant information. Figure shows the remaining sample features after using a filter with a signal to median blank ratio of 5. It can be seen that frequently occurring blank features are removed (i.e., set to 0 intensity) from the samples. Overall, reducing the total number of aligned features from 19,557 to 8,812 in the samples. The visualized filtered and unfiltered aligned feature list for the liver samples can be found in the SI (Figure and S5), showing similar results.