SMOLR: Single Molecule Localization Gaussian Image Reconstruction

In maartenpaul/SMoLR: Single Molecule Localization Microscopy visualization and analysis in R

Description

Visualizes single molecule data (x,y,precision,channel) by plotting a gaussian function with a sigma proportional to the precision of the localizations, and a fixed integrated density.

Usage

SMOLR(x, y, prec, ch, px, xlim, ylim, file, output, fit, fast)
## S3 method for class 'data.frame'
SMOLR(x, px, xlim, ylim, file, output, fit, fast)
## S3 method for class 'list'
SMOLR(x, px, xlim, ylim, file, output, fit, fast)

Arguments

x	X coordinates in nm, a localizations data.frame or a list of data.frames.
y	Y coordinates in nm
prec	Precisions in nm, if not specified 20nm is used
ch	Channel number, if not specified channel is 1
px	Pixelsize in nm of the final image, default=5 nm
xlim	Vector with the upper and lower limit of x axis (x coordinates outside limits will be discarded if fit=TRUE)
ylim	Vector with the upper and lower limit of y axis (y coordinates outside limits will be discarded if fit=TRUE)
output	Type of output: "tiff" will output a tif image as indicated in file. "r" will output an smlmr_image object. Default is "r".
file	Filename to output tiff image to when output is "tiff" if no filename is given a dialog box opens and asks for a filename
fit	If fit=TRUE all coordinates that lie outside of indicated xlim and ylim values are discarded
fast	If fast is TRUE a predefined list of gaussian functions will be loaded in the memory instead of generated for each localization. This Will speed up calculations for large images. This method is less precise placing gaussians in the middle of the pixel instead of the regular subpixel location.

Value

returns a r object of the class smolr_image which is a list containing 3 items

img	an array pixel values between zero and one
parameters	list of parameters of the given data per channel. Nloc number of localizations, max min and mean of x and y coordinates
inputs	list of values that were the input in the function, for back reference

Author(s)

Optical Imaging Centre ErasmusMC Rotterdam

Examples

test <- SMOLR(c(200,150,400,345),c(200,300,400.5,239),ch=c(2,3,4,2), prec=c(15,10,16.3,12))

#test #displays a summery 
#test$img #displays the image array
#test$parameters #displays the parameters of the image
#plot(test)

maartenpaul/SMoLR documentation built on May 21, 2019, 10:14 a.m.