Methods and apparatus for label compensation during specimen characterization

A quality check module, comprising:

• a plurality of image capture devices arranged around an imaging location, and configured to capture multiple images from multiple viewpoints of a specimen container including one or more labels and containing a serum or plasma portion of a specimen;
• and
• a computer coupled to the plurality of image capture devices and adapted to process image data of the multiple images, the computer configured and capable of being operated to:
• process the multiple images from the multiple viewpoints to provide segmentation data for each of the multiple viewpoints, the segmentation data including identification of a label-containing region,
• store a reference label configuration database including reference image data on multiple reference label configurations,
• determine a closest label match of the label-containing region to a reference label configuration selected from the multiple reference label configurations contained in the reference label configuration database, and
• generate a combined representation based on the segmentation data and the closest label match.

A specimen testing apparatus, comprising:

• a track;
• a carrier moveable on the track and configured to contain a specimen container including one or more labels and containing a serum or plasma portion of a specimen;
• a plurality of image capture devices arranged around the track and configured to capture multiple images of the specimen container and specimen from multiple viewpoints;
• and
• a computer coupled to the plurality of image capture devices and adapted to process image data of the multiple images, the computer configured and capable of being operated to:
• process the multiple images from the multiple viewpoints to provide segmentation data for each of the multiple viewpoints, the segmentation data including identification of a label-containing region,
• store a reference label configuration database including reference image data on multiple reference label configurations,
• determine a closest label match of the label-containing region to a reference label configuration selected from the multiple reference label configurations contained in the reference label configuration database, and
• generate a combined representation based on the segmentation data and the closest label match.