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Evaluation of repeatability for the automatic estimation of endothelial cell density in donor corneas.
  1. Alfredo Ruggeri (alfredo.ruggeri{at}unipd.it),
  2. Enrico Grisan (enrigri{at}dei.unipd.it),
  3. Jan Schroeter (jan.schroeter{at}charite.de)
  1. University of Padova, Italy
  2. University of Padova, Italy
  3. Charité-Universitätsmedizin Berlin, Germany

    Abstract

    Background/aims: The repeatability of an automatic system for estimation of endothelial cell density (ECD) from microscopy images in donor corneas was assessed.

    Methods: A computer program for the automatic ECD estimation from frequency analysis was previously presented. An evaluation of its repeatability was performed on a data set containing 200 corneas, by assessing accuracy and precision of automatic vs. manual values. For each cornea, between 2 and 21 images (1536 total) at 100x for automatic ECD and one image at 200x for manual ECD were available.

    Results: Accuracy of automatic ECDs was −45 ± 99 cells/mm2 (−2% ± 4%). Precision of repeated automatic ECDs on the same cornea was 62 ± 30 cells/mm2 (3% ± 1%). The algorithm was also capable of identifying all non-processable images.

    Conclusion: The proposed automatic technique proved to be reliable for its routine use in a typical eye-bank setting like the one considered here.

    • endothelial cell density
    • eye bank
    • image analysis
    • repeatability

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