remove_dust: Clean and Adjust Signal of a DAPI Mask
In dami82/CellSignalingTools: Analysis of Images for Molecular Biology Applications

Description Usage Arguments Value Author(s) References Examples

Clean and Adjust Signal of a DAPI Mask. Voids in large signal areas are filled while small signal areas (aspecific signal) are removed.

1	remove_dust(signal_map, nuclei_dims)

`signal_map`	is a boolean matrix. Typically, this is the result of a get_dapi_range() call.
`nuclei_dims`	is an integer vector containing two elements. Typically, this is the result of a get_nucl_dims() call.

The function returns a boolean matrix

Damiano Fantini

http://www.biotechworld.it/bioinf/2016/03/09/analyzing-fluoresence-microscopy-data-with-r/

data("leio_cells_dapi")
dapi_mask <- get_dapi_range(leio_cells_dapi)
n_dims <- get_nucl_dims(dapi_mask)
clean_mask <- remove_dust(dapi_mask[300:800,400:800], n_dims)
image(clean_mask, col = c("gray75", "white"))