Deconvolution¶
The primary function for performing deconvolution is {func}~pycudadecon.decon
.
This convenience function is capable of receiving a variety of input types
(filenames, directory names, numpy arrays, or a list of any of those) and
will handle setting up and breaking down the FFT plan on the GPU for all files
being deconvolved. Keywords arguments will be passed internally to the
{class}~pycudadecon.RLContext
context manager or the
{func}~pycudadecon.make_otf
{func}~pycudadecon.rl_decon
functions.
The setup and breakdown for the GPU-deconvolution can also be performed manually:
- call {func}
~pycudadecon.rl_init
with the shape of the raw data and path to OTF file. - perform deconvolution(s) with {func}
~pycudadecon.rl_decon
. - cleanup with {func}
~pycudadecon.rl_cleanup
As a convenience, the {class}~pycudadecon.RLContext
context manager will
perform the setup and breakdown automatically:
data = tiffile.imread('some_file.tif') otf = 'path_to_otf.tif' with
RLContext(data.shape, otf) as ctx:
result = rl_decon(data, output_shape=ctx.out_shape)
API¶
.. automodule:: pycudadecon
:members: decon, rl_init, rl_decon, RLContext, rl_cleanup