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June 9, 2026Cornea

Automated Tissue Segmentation Software for Assessing Global Area of Cell Damage After Descemet Membrane Endothelial Keratoplasty

Hannah J. Hwang Peter Bedard Mark Cavaleri Aaron M. Bae Katie Cooney Ching Yuan Jeff Bymark Chris LaGassie Joshua H. Hou

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Key Points

This study aims to assess the feasibility of imaging donor corneas during processing for cell viability analysis and compare automated software accuracy against manual methods.
Evaluated 50 DMEK donor corneas stained with trypan blue using high-resolution imaging.
Measured percent area of cell damage (%ACD) using manual Weka software, Kerify automated software, and technician estimates.
Compared %ACD across all methods using 1-way ANOVA and regression analysis.
No significant difference in average %ACD between Kerify (5.8%), manual software (5.4%), and technician estimates (6.1%), P = 0.24.
Kerify demonstrated greater precision than technician estimates at higher %ACD levels when using manual Weka as the reference standard.

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Implication

Compares automated software's accuracy in measuring cell damage in donor corneas, indicating potential benefits for tissue evaluation.

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Cite This Study

Hwang et al. (2026) studied this question.

synapsesocial.com/papers/6a323e06d50b63ecad207638 https://doi.org/10.1097/ico.0000000000004223

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4Deep learning for assessing corneal endothelial cell density in patients after descemet membrane endothelial keratoplasty: towards improved evaluationOriginal Research · 2026
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