This repository contains R tools and workflows for spatial analysis of cell-types using single-cell spatial transcriptomic Xenium data. To know more about Xenium technology, check out the Xenium ...

R has become a popular and powerful platform for working with geospatial data due to its well-developed ecosystem of packages to import, process, analyze and visualize spatial data, strong integration ...

In today's world, the line between digital and physical is blurrier than ever. And few people are navigating that evolving space more thoughtfully than Alex Levin. As the Founding Partner and Director ...

Update: A previous version of this post incorrectly stated that the feature works with any iOS 26-compatible iPhone. It has been updated to clarify that the feature is only supported on iPhone 12 and ...

Abstract: Two-dimensional spatial light modulators (SLMs) modulate one of the properties of an optical wavefront (amplitude, phase, polarization) as a function of two spatial dimensions and time in ...

1Guangdong Provincial Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou, P. R. China.

The following tutorial will demonstrate how to conduct a spatial autocorrelation analysis within RStudio using real world data. As an example, we will look at the spatial patterns for two variables ...

This document contains a tutorial and training exercise for getting started using the VIC model across a spatial domain and making use of the ITaP Research Computing cluster system resources. It ...