Our Bruker SRX software offers a number of measurement analyses to help researchers quickly and easily analyze the molecular localization data collected.
Experiments examining spatial distribution of localization data are a fundamental analysis, and can be a precursor to additional levels of analysis. Spatial distribution measurements provide valuable information regarding the density of localizations within different regions of the cell. Comparison of localization distribution differences between cell regions or differences in the same cell region across treatments or conditions provide can provide useful insights into molecular composition and provide inferences valuable in understanding pathways and molecular function. Tools provided for analyzing distribution include Ripley’s K, Pair Correlation and Nearest Neighbors.
Cluster analysis provides more detailed analysis of clusters that are observed in a sample. The cluster analysis dialog allows a user to set parameters for cluster analysis such as particle type, cluster size, and particle count, and has display functions to help visualize cluster formation, and has a variety of measurement parameters for viewing and output to .csv or .mat files. Cluster visualization can also be displayed in the main SRX visualization window, and can be use used to filter data.
Cluster analysis measurements include particle counts, cluster area, cluster density, cluster size (volume), centroid position, and PCA analysis.
Co-localization measurements include Mander’s Overlap Coefficient, Intensity Correlation Quotient, Pair Correlation, Nearest Neighbors, Joint Histogram and Storm-RLA Cluster Analysis.