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Development of Eye Color Diagnostic Tool and Coloration for Ocular Prosthesis
Ann Optom Contact Lens 2019;18:105-110
Published online December 25, 2019
© 2019 The Korean Optometry & Contact Lens Study Society

So Hyun Kim, PhD1,2, Yung Kyung Park, PhD3, Yoon Jung Kim, MA4, Seung Woon Baek, BS1, Jong Eun Lee, BS5, Jin Sook Yoon, MD, PhD1

Department of Ophthalmology, Institute of Vision Research, Severance Hospital, Yonsei University College of Medicine1, Seoul, Korea
Department of Biomedical Engineering, Yonsei University College of Medicine2, Seoul, Korea
Department of Design, Ewha Womans University3, Seoul, Korea
Ewha Color Design Research Institute, Ewha Womans University4, Seoul, Korea
Kyung Hee University College of Medicine5, Seoul, Korea
Correspondence to: Jin Sook Yoon, MD, PhD
Department of Ophthalmology, Institute of Vision Research, Severance Hospital, Yonsei University College of Medicine, #50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Tel: 82-2-2228-3570, Fax: 82-2-312-0541
Received September 17, 2019; Revised October 9, 2019; Accepted October 9, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Purpose: This study focused on devising a novel method to objectify and automate the manual method of iris and vessel painting for use in ocular prosthesis.
Methods: Standard image data were created to match the iris color, iris pattern, scleral color, vessel color, and vessel density of the patient’s healthy eye. To apply the colors of the standardized dataset, we developed a color diagnostics tool. Thereafter, the image data were directly printed on the scleral surface using the sublimation transfer technique.
Results: Using the eye color diagnostic tool to examine the iris offers several advantages, including convenient measurement, objective color identification, and creation of personalized graphic data. It also reduces the errors of remanufacturing due to incorrect measurement of eye color. The use of customized image dataset of the eye may help maintain the consistency of production even in cases of damaged ocular prosthesis.
Conclusions: The use of eye color diagnostic tool and sublimation transfer printing of the iris and vessel images reduce the time and effort required and therefore allows for more efficient production of ocular prosthesis.
Keywords : Eye colors; Image processing; Korean standard dataset; Ocular prosthesis; Ophthalmology

December 2019, 18 (4)