In [1]:

    

from leicaautomator.automator import find_spots
from leicaautomator.utils import save_regions, flatten
from leicaexperiment import Experiment
from leicascanningtemplate import ScanningTemplate
from leicacam import CAM


    

In [7]:

    

cam = CAM()
cam.welcome_msg


    

    
Out[7]:





b'Welcome client : 6\n'

In [5]:

    

tmpl_path = r"C:\Users\TCS-User\AppData\Roaming\Leica Microsystems\LAS X\MatrixScreener\ScanningTemplates\ ".strip()
tmpl_path


    

    
Out[5]:





'C:\\Users\\TCS-User\\AppData\\Roaming\\Leica Microsystems\\LAS X\\MatrixScreener\\ScanningTemplates\\'

In [42]:

    

tmpl_name = '{ScanningTemplate}leicaautomator-overview.xml'
tmpl = ScanningTemplate(tmpl_path + tmpl_name)


    

In [43]:

    

tmpl.properties.attrib


    

    
Out[43]:





{'TotalAssignedJobs': '228', 'TotalCountOfFields': '228', 'Version': 'Version: 1.0.4.661 -- Build 29.09.2014', 'UniqueJobCounter': '1', 'TotalCountOfWells': '1'}

In [44]:

    

tmpl.properties.CountOfScanFieldsX = 20
tmpl.properties.CountOfScanFieldsY = 12


    

In [45]:

    

tmpl.add_well(1, 2, 55225e-6, 29525e-6)


    

In [46]:

    

tmpl.remove_well(1,1)


    

In [58]:

    

tmpl.well_array.ScanWellData.attrib['WellY'] = '1'
for f in tmpl.fields:
    f.attrib['WellY'] = '1'


    

In [60]:

    

tmpl.write()


    

In [67]:

    

cam.load_template('{ScanningTemplate}leicaautomator0') # fake load


    

    
Out[67]:





[]

In [68]:

    

cam.load_template(tmpl.filename)


    

    
Out[68]:





[]

In [8]:

    

cam.start_scan()


    

    
Out[8]:





[]

In [37]:

    

from time import sleep
scanfinished = False
while not scanfinished:
    msg = cam.receive()
    for cmd in msg:
        try:
            if cmd['inf'] == 'scanfinished':
                scanfinished = True
                break
        except KeyError:
            continue
    sleep(10e-3)


    

In [38]:

    

exp_path = r"D:\MatrixScreenerImages\3.3.0_9757\ ".strip()
exp_path


    

    
Out[38]:





'D:\\MatrixScreenerImages\\3.3.0_9757\\'

In [39]:

    

whole = 'experiment--2015_03_21_15_02_11'
experiment = Experiment(exp_path + whole)
!dir $experiment.path


    

    




 Volume in drive D is DATADRIVE1
 Volume Serial Number is F805-2E08

 Directory of D:\MatrixScreenerImages\3.3.0_9757\experiment--2015_03_21_15_02_11

03/21/2015  04:02 PM    <DIR>          .
03/21/2015  04:02 PM    <DIR>          ..
03/21/2015  04:02 PM    <DIR>          AdditionalData
03/21/2015  04:02 PM    <DIR>          slide--S00
               0 File(s)              0 bytes
               4 Dir(s)  1,700,173,557,760 bytes free

In [40]:

    

compressed = experiment.compress(delete_tif=True)


    

In [41]:

    

len(experiment.images), len(compressed)


    

    
Out[41]:





(240, 240)

In [42]:

    

from PIL import Image
for img in experiment.images:
    i = Image.open(img)
    i = i.rotate(270)
    i.save(img)


    

In [43]:

    

stitched = experiment.stitch()[0]
from IPython import display
display.Image(stitched)


    

    
Out[43]: