implement segmented scan detectors

[gduscher]

Only HAADF and BF(sum) is implemented at this point,
But we have 4 detectors that are segmented.
We would want to collect all 17 signals. (4x4 segmented _ HAADF)

[utkarshp1161]

Good point. Putting below a relevant example from AutoScript API:

from autoscript_tem_microscope_client import TemMicroscopeClient
from autoscript_tem_microscope_client.enumerations import *
from autoscript_tem_microscope_client.structures import *

import math
from matplotlib import pyplot as plt

microscope = TemMicroscopeClient()
#microscope.connect("10.113.145.132")
microscope.connect("10.46.217.242")# gatan pc

bf_s = microscope.detectors.get_scanning_detector(DetectorType.BF_S)
df_s = microscope.detectors.get_scanning_detector(DetectorType.DF_S)
haadf = microscope.detectors.get_scanning_detector(DetectorType.HAADF)


# Enable the inner segments on the BF-S detector
bf_s.set_enabled_segments(DetectorSegmentType.INNER_RING)

# Enable all segments on the DF-S detector
df_s.set_enabled_segments(DetectorSegmentType.ALL)

# Enable SINGLE segment on HAADF
haadf.set_enabled_segments(DetectorSegmentType.SINGLE)

# Join the two lists together
segments = bf_s.get_enabled_segments() + df_s.get_enabled_segments() + haadf.get_enabled_segments()

# Acquire one image per segment, a total of 13 images in this case
images = microscope.acquisition.acquire_stem_segment_images(segments, 256, 1E-6)

# Plot the images in max 4 columns wide
from matplotlib import pyplot as plt
n = len(images)
columns = min(4, n)
rows = math.ceil(n/columns)
fig, plots = plt.subplots(rows, columns)
fig.tight_layout()

for row in range(rows):
    for column in range(columns):
        plot = plots[row, column]
        plot.axis('off')
        i = column + row * columns
        if i < n:
            plot.imshow(images[i].data, cmap='gray')
            plot.set_title(segments[i].detector_name + " " + segments[i].name)

plt.show()