Description Usage Arguments Author(s) See Also Examples
Different objects from SMoLR can be plotted using the plot()
function. Depending on the type of object an image or a scatter plot will be returned.
1 2 3 4 | plot.smolr_image(x, y, saturate = 0, brightness = 0, contrast = 1, rgb = F, ...)
plot.smolr_kde(x, y, saturate = 0, brightness = 0, contrast = 1, rgb = F, ...)
plot_lut.smolr_image(channel,lut)
plot.smolr_dbscan(x,hide_noise=FALSE)
|
saturate |
Fraction of pixels that will be saturated in the plotted image |
brightness |
Adjust brightness, value between 0 and 1, this will shift the pixel values with the indicated value (default=0). |
contrast |
Adjust contrast, pixel values are multiplied with the input value (default = 1). |
rgb |
Make an RGB image, default=FALSE |
lut |
Use a lookup table from the pals package |
hide_noise |
Used for a smolr_dbscan, this will hide to localizations which are not in a cluster (background/noise). |
Optical Imaging Centre ErasmusMC Rotterdam
1 2 3 4 5 6 7 8 9 10 11 12 13 | plot(SMOLR(smolrdata))
plot(SMOLR(smolrdata),brightness = 0.9)
plot(SMOLR(smolrdata),saturate = 0.2)
plot(SMOLR_KDE(smolrdata))
plot(SMOLR_KDE(smolrdata),contrast=2)
plot(SMOLR_DBSCAN(smolrdata,MinPts=15),hide_noise = F)
plot(SMOLR_DBSCAN(smolrdata,MinPts=15),hide_noise = T)
plot_lut(SMOLR(smolrdata),channel = 1)
plot_lut(SMOLR(smolrdata),channel = 2,"warmcool")
plot_lut(SMOLR(smolrdata),channel = 3,"coolwarm")
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