VoltRon is a spatial omic analysis toolbox for
multi-omics integration using spatial image registration. VoltRon is
also capable of analyzing multiple types of spatially-aware data
Unique data structure of VoltRon allows users to
seamlessly define tissue blocks, layers and multiple assay types in one
End-to-end downstream data analysis for distinct
spatial biology technologies are supported. VoltRon visualizes and
analyzes regions of interests (ROIs), spots, cells and even molecules
Automated Image Registration incorporates
OpenCV (fully embedded into the
package using Rcpp) to detect common
features across images and achieves registration. Users may interact
with built-in mini shiny apps to change alignment parameters and
validate alignment accuracy.
Manual Image Registration helps users to select
common features across spatial datasets using reference images stored in
VoltRon objects. In case automated image registration doesn’t work, you
can still align images by manually picking landmark points.
Niche Clustering allows integration to single cell
RNA analysis datasets using
and spacexr for spot
deconvolution. Estimated cell type abundances are then used to cluster
spots into groups of cell type niches which are defined as spots with
distinct composition of cell types.