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 the accuracy and precision of automatic versus manual values. For each cornea, 2-21 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 (SD 99) cells/mm(2) (-2% (4%)). Precision of repeated automatic ECDs on the same cornea was 62 (30) cells/mm(2) (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.
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 the accuracy and precision of automatic versus manual values. For each cornea, 2-21 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 (SD 99) cells/mm(2) (-2% (4%)). Precision of repeated automatic ECDs on the same cornea was 62 (30) cells/mm(2) (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.
Authors: P Gain; G Thuret; L Kodjikian; Y Gavet; P H Turc; C Theillere; S Acquart; J C Le Petit; J Maugery; L Campos Journal: Br J Ophthalmol Date: 2002-07 Impact factor: 4.638