The plotCells
and plotPixels
functions share a
number of parameter that can be set to change the visual representation of
plotted images.
a single character specifying a valid colour. Cells
that are not contained in the SingleCellExperiment object will be coloured
based on missing_colour
. In the plotPixels
function,
missing_colour
defines the outline of the cells if outline_by
is not set.
(only plotCells
) a single character
specifying a valid colour that is set as the background of the image.
a list specifying features of the scale bar. One or multiple of the following entries are supported:
length
: numeric length in pixels (default 20% of the largest
image width).
label
: single character specifying the scale bar label.
cex
: numeric value indicating the size of the scale bar label.
lwidth
: numeric value indicating the line width of the scale bar
in pixels. By default, the line width is adjusted relative to the maximum
height of the images.
colour
: single character specifying the colour of scale bar and
label (default "white").
position
: position of scale bar. Supported values: "topleft",
"topright", "bottomleft", "bottomright" (default "bottomright").
margin
: vector of two numeric entries specifying the x and y
margin between image boundary and the scale bar (default c(10,10)).
frame
: either "all" to display scale bar on all images or a
single number specifying the image for which the scale bar should be
displayed (default "all").
Plotting of the scale bar is suppressed if set to NULL
.
a list specifying features of the image titles. One or multiple of the following entries are supported:
text
: character vector of image titles. Same length as the
CytoImageList
object.
position
: single character specifying the position of the
title. Supported entries: "top", "bottom", "topleft", "bottomleft",
"topright", "bottomright" (default "top").
colour
: single character specifying the colour of image title
(default "white").
margin
: vector of two numeric entries specifying the x and y
margin between image boundary and the image title (default c(10,10)).
font
: numeric entry specifying the font of the image title
(default 1, see par
for details)
cex
: numeric value indicating the size of the image title.
Plotting of the image title is suppressed if set to NULL
.
a list specifying how to save the plot. One or multiple of the following entries are supported:
filename
: single character specifying a valid file name.
The file extension specifies the format in which the file is saved.
Supported formats are: jpeg, tiff and png. If display = "single"
,
each image will be written in an individual file. The file names obtain
a "_x" ending where x indicates the position of the image in the
CytoImageList
object or "legend".
scale
: by default the height and width of the saved image is
defined by the maximum image size times the number of rows and number of
columns. This resolution is often not sufficient to clearly display the
text. The scale
parameter can be set to increase the resolution of
the image while keeping the text size constant (default 1 but can be
increased for optimal results).
logical indicating whether to return the plot (see
recordPlot
for more infos).
logical indicating whether to return the coloured images
in form of a SimpleList
object. Each entry to this
list is a three-colour Image
object. However, the
image title and scale bar are not retained.
a list specifying features of the legend. One or multiple of the following entries are supported:
colour_by.title.font
: numeric entry specifying the font of the
legend title for features specified by colour_by
.
colour_by.title.cex
: numeric entry specifying the size of the
legend title for features specified by colour_by
.
colour_by.labels.cex
: numeric entry specifying the size of the
legend labels for features specified by colour_by
.
colour_by.legend.cex
: (only discrete features) numeric entry
specifying the size of the legend for features specified by
colour_by
.
outline_by.title.font
: numeric entry specifying the font of the
legend title for features specified by outline_by
.
outline_by.title.cex
: numeric entry specifying the size of the
legend title for features specified by outline_by
.
outline_by.labels.cex
: numeric entry specifying the size of the
legend labels for features specified by outline_by
.
outline_by.legend.cex
: (only discrete features) numeric entry
specifying the size of the legend for features specified by
outline_by
.
margin
: numeric value indicating the margin (in pixels) between
the legends and the outer boundary (default 2)
Plotting of the legend is suppressed if set to NULL
.
numeric value indicating the gap (in pixels) between individual images (default 0).
logical indicating whether cell borders should be drawn as
thick lines (default FALSE
).
one of two possible values: "all" or "single". When set to "all", all images are displayed at once in a grid-like fashion. When set to "single", individual images are plotted in single graphics devices. The second option is useful when saving individual images in pdf format or when displaying in Rmarkdown files.
logical indicating whether to scale each feature individually to
its minimum/maximum across the SingleCellExperiment object (see
plotCells
) or across all displayed images (see
plotCells
). If set to FALSE
each value is displayed
relative to the maximum of all selected features.
a logical indicating whether to apply
linear interpolation to the image when drawing (see
rasterImage
) (default TRUE).
a list if return_images
and/or return_plot
is TRUE.
plot
: a single plot object (display = "all"
) or a list
of plot objects (display = "single"
)
images
: a SimpleList
object containing
three-colour Image
objects.
plotCells
and plotPixels
for the main plotting functions
data("pancreasImages")
data("pancreasMasks")
data("pancreasSCE")
# Setting missing colour
plotCells(pancreasMasks, missing_colour = "blue")
# Setting background colour
plotCells(pancreasMasks, background_colour = "blue")
# Setting the scale bar
plotCells(pancreasMasks, scale_bar = list(length = 10,
cex = 2,
lwidth = 10,
colour = "red",
position = "bottomleft",
margin = c(5,5),
frame = 3))
# Setting the image title
plotCells(pancreasMasks,
image_title = list(text = c("image1", "image2", "image3"),
position = "topleft",
colour = "blue",
margin = c(0,5),
font = 2,
cex = 2))
# Return plot
cur_out <- plotPixels(pancreasImages, return_plot = TRUE)
cur_out$plot
# Return images
cur_out <- plotPixels(pancreasImages, return_images = TRUE)
cur_out$images
#> List of length 3
#> names(3): E34_imc G01_imc J02_imc
# Setting the legend
plotCells(pancreasMasks, object = pancreasSCE,
img_id = "ImageNb", cell_id = "CellNb",
colour_by = c("CD99", "CDH"),
outline_by = "CellType",
legend = list(colour_by.title.font = 0.5,
colour_by.title.cex = 0.5,
colour_by.labels.cex = 0.5,
outline_by.legend.cex = 0.5,
margin = 0))
# Setting the margin between images
plotPixels(pancreasImages, margin = 3)
# Thick outlines
plotCells(pancreasMasks, object = pancreasSCE,
img_id = "ImageNb", cell_id = "CellNb",
colour_by = "CD99",
outline_by = "CellType",
thick = TRUE)
# Displaying individual images
plotPixels(pancreasImages, display = "single")
# Supress scaling
plotPixels(pancreasImages, colour_by = c("CD99", "PIN"),
scale = TRUE)
plotPixels(pancreasImages, colour_by = c("CD99", "PIN"),
scale = FALSE)
# Suppress interpolation
plotPixels(pancreasImages, colour_by = c("CD99", "PIN"),
interpolate = TRUE)
plotPixels(pancreasImages, colour_by = c("CD99", "PIN"),
interpolate = FALSE)