Single-molecule localization-based super-resolution microscopy techniques such as photoactivated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM) produce ...

Eye-specific differences in presynaptic release site addition and clustering correlate with axonal segregation outcomes during retinogeniculate refinement in the mouse.

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

Cluster analysis can aid in identifying subgroups of patients with similar patterns of comorbid conditions for targeted care management. We identified a cohort of adult members of an integrated health ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Applying AI know-how to the giant pool of data gathered from the world’s leading and most powerful scientific instruments could accelerate the process of scientific discovery. Powerful ...

The concept of “smart cities” seems like a contemporary urbanism trend. But as early as the 1960s, cities were using technology to gather, interpret, and visualize civic data. Here’s how a 1974 report ...