DECONWOLF(1) DECONWOLF(1)
NAME
dw_bw is a tool to generate Point Spread Functions according to the Born-Wolf model.
SYNOPSIS
dw_bw [OPTIONS] psf.tif
OPTIONS
--ni # Set the refractive index of the immersion media.
--NA # Set the numerical aperture of the objective.
--lambda #
Set the emission wavelength [nm].
--resxy #
Set the pixel size [nm] in the lateral plane.
--resz P
Set the pixel size/distance between planes in the axial direction.
--size N
Set output size to N x N x P [pixels]. This should be set big enough so that the PSF cone isn’t
cropped at the first and last slice of the PSF.
--nslice P
Set output size to N x N x P [pixels]. P has to be an odd number. Please not that P should be at
least (2Z-1) where Z is the number of slices in the image to be deconvolved
--threads t
Set the number of computational threads to use.
--overwrite
Overwrite the target if it exists.
--li Use Li’s method (our implementation) for the BW integral. About 2x faster for the default PSF
size. Not thoroughly tested.
--version, -V
Show version information and quit.
--verbose L
Set the verbosity level to L where 0=quiet, 1=default, 2=full.
--help Show a short help message and quit.
OUTPUT
A 32-bit float tif file along with a log file.
EXAMPLE
dw_bw --resxy 65 --resz 200 --NA 1.45 --ni 1.515 --lambda 466 PSF_DAPI.tif
saves PSF_DAPI.tif and PSF_DAPI.tif.log.txt.
SEE ALSO
dw for deconvolution.
WEB PAGE
REPORTING BUGS
Please report bugs at
COPYRIGHT
Copyright © 2022 Erik Wernersson. License GPLv3+: GNU GPL version 3 or later . This is free software: you are free to change and redistribute it. There is NO WARRANTY,
to the extent permitted by law.
AUTHORS
Erik Wernersson.
dw_bw 0.4.4 2022 DECONWOLF(1)