# captures

measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 11808 characters]

m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 11204 characters]

m_lnet_result_serialized:
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measure_data_serialized:
  {"normalizer":{"NormalizeMethod":"HeadToCloakInPetriDish","NormalizeReference":100.0,"NormalizePixelSize":0.1,"NormalizedWidthPx":600,"NormalizedHeightPx":600,"PatternRelWidth":0.3,"PatternRelHeight":0.8},"normalizePoints":[{"X":145.13573,"Y":265.15833},{"X":1289.7058,"Y":364.2534},{"X":480.65607,"Y":1661.086}],"measurePoints":[{"X":958.1448,"Y":1519.0046},{"X":1032.3529,"Y":723.5293}],"Threshold":0.1,"BinaryThresholdMode":3}

pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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measure_data_serialized:
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pattern_image_src:
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m_lnet_result_serialized:
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