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)