class Metadata(object):
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""" A simple container for ND2 metadata. """
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def __init__(self, height, width, channels, date, fields_of_view, frames, z_levels, total_images_per_channel):
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self._height = height
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self._width = width
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self._channels = channels
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self._date = date
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self._fields_of_view = fields_of_view
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self._frames = frames
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self._z_levels = z_levels
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self._total_images_per_channel = total_images_per_channel
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@property
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def height(self):
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"""
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The image height in pixels.
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:rtype: int
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"""
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return self._height
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@property
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def width(self):
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"""
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The image width in pixels.
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:rtype: int
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"""
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return self._width
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@property
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def date(self):
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"""
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The date and time when acquisition began.
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:rtype: datetime.datetime()
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"""
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return self._date
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@property
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def channels(self):
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"""
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These are labels created by the NIS Elements user. Typically they may a short description of the filter cube
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used (e.g. "bright field", "GFP", etc.)
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:rtype: list
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"""
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return self._channels
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@property
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def fields_of_view(self):
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"""
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The metadata contains information about fields of view, but it contains it even if some fields
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of view were cropped. We can't find anything that states which fields of view are actually
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in the image data, so we have to calculate it. There probably is something somewhere, since
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NIS Elements can figure it out, but we haven't found it yet.
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:rtype: list
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"""
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return self._fields_of_view
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@property
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def frames(self):
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"""
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The number of cycles.
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:rtype: list
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"""
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return self._frames
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@property
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def z_levels(self):
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"""
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The different levels in the Z-plane. Just a sequence from 0 to n.
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:rtype: list
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"""
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return self._z_levels
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@property
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def total_images_per_channel(self):
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return self._total_images_per_channel
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