fvcsim

Overview

Simulate the results of analysis of the FVC image, producing fvc spot positions.

Input

Arguments

nfs_data

miscellaneous parameters associated with the sequence

positioner_pos

the table of open-loop positioner coordinates

fiducial_pos

the table of open-loop fiducial coordinates, in FVC pixels

fvc_image

image data from the FVC camera

Configuration

TODO

Output

merged_fvc_spots

target spot positions from the FVC system

fvc_spots

FIXME

fif_spots

FIF spots

gfa_spots

GFA spots

target_spots

target spots

Return value

Either SUCCESS if the the caluculation is successful, or an error message othewise.

Use

First, a PML connection must be established:

>>> from DOSlib.PML import dos_connection
>>> pm = dos_connection('PLATEMAKER')
>>> pm.execute('configure')
'SUCCESS'

For this demonstration, load some sample data for the input:

>>> from PlateMaker import test_data
>>> seq_id = test_data.seq_id
>>> nfs_data = test_data.nfs_data
>>> fvc_image = test_data.fvc_image
>>> fiducial_pos = test_data.fiducial_pos
>>> positioner_pos = test_data.positioner_pos
>>> inst_name = test_data.inst_name

Actually execute fvcsim:

>>> pm.execute('set', seqid=seq_id, instrument=inst_name)
'SUCCESS'
>>> pm.execute('fvcsim',
...            nfs_data=nfs_data,
...            fvc_image=fvc_image,
...            fiducial_pos=fiducial_pos,
...            positioner_pos=positioner_pos)
'SUCCESS'

The results of the calculations can then be retrieved:

>>> merged_fvc_spots = pm.execute('get', 'merged_fvc_spots')
>>> fif_spots = pm.execute('get', 'fif_spots')
>>> gfa_spots = pm.execute('get', 'gfa_spots')
>>> target_spots = pm.execute('get', 'target_spots')