SMOLR_FEATURES: Get feature analysis from kernel density estimation...
In maartenpaul/SMoLR: Single Molecule Localization Microscopy visualization and analysis in R

Description Usage Arguments Details Value Note Author(s) References Examples

Returns a feature analysis of a kernel density estimation.

1	smlmr_features(x, filter = NULL, filter_value = NULL)

`x`	A single molecule kernel density estimation (data type must be smolr_kde)
`filter`	Name of a feature to filter for. The result will be in the parameters
`filter_value`	Value to filter, counts features that have a value higher than filter_value

Feature analysis as present in the EBImage package

`features`	A table of features measured per channel
`parameters`	number of features per channel and number of filtered features

Features can be applied tot the kernel density estimation images parameters using the apply_filtered_features function from the SMoLR package

Optical Imaging Centre ErasmusMC Rotterdam

https://rdrr.io/bioc/EBImage/man/computeFeatures.html

test_kde <- SMOLR_KDE(c(200,150,400,210),c(200,300,400.5,239),ch=c(2,3,4,3),threshold=0.01)

test_features <- SMOLR_FEATURES(test_kde)
test_features <- SMOLR_FEATURES(test_kde, filter="x.0.s.area", filter_value=1000)