registerSpatialData.registerSpatialData now allows registering assays with no images. In case of either one of the assays,
do not have images, assays can be registered with only the manual approach.registerSpatialData now reports on the accuracy of the alignment using multiple
metrics such as Intersection, Bhattacharyya and Matte's Mutual Information.transferData now allows integrating single cell data object (Seurat or SingleCellExperiment)
for transfering features (e.g. gene expression) or metadata features (e.g. cell types, annotations).importImageData and importQuPathIF functions only work with segments already converted to a
list by the user, or the generateSegments function whose argument is an sf object.formAssay function now accepts only segments without the user manually generating coordinates
(or centroids).name argument in functions like vrImages, vrCoordinates and vrSegments is replaced
with spatial which is the name of the spatial coordinate system of the assay, spatial object.formImage function is replaced with formSpatial to avoid confusion.var_names and obs_names arguments and
fix other faulty argumentsregisterSpatialData function will let users to select BSpline (SimpleITK) method for non-rigid alignment when Non-Rigid methods selected.Non-rigid fine alignment (with OpenCV coarse alignment) using SimpleITK
https://bioinformatics.mdc-berlin.de/VoltRon/registration.html#Non-Rigid_Alignment
Added 'channels' arguement to ImportImageData to parse only requested channels from OME-TIFF files.
https://bioinformatics.mdc-berlin.de/VoltRon/importingdata.html#OME-TIFF
Multi-omic clustering with multiple feature sets and tutorials (Xenium + mIF) upon registration
https://bioinformatics.mdc-berlin.de/VoltRon/multiomic.html#Xenium_+_IF_Tonsil_Data
Added importQuPathIF function to generate QuPath processed images and import spatial proteomics assays as a VoltRon objects
https://bioinformatics.mdc-berlin.de/VoltRon/importingdata.html#Multiplex_IF_(QuPath){.uri}
Building spatial neighborhood graphs and proximity analysis across multiple entities (e.g. molecules vs cells)
https://bioinformatics.mdc-berlin.de/VoltRon/multiomic.html#Hot_Spot_Analysis