<\/p>\n<\/p>\n
Using smartphones to capture photographs of patients’ eyes for check-up may lead to misdiagnosis as camera colour sensors vary and as a result, images of the same eye may appear different depending on the model of smartphone used, warn researchers.<\/p>\n
The study, published in the journal Scientific Reports, suggests that calibration of phone cameras is vital to capture accurate data. <\/p>\n
Eye examinations to look for redness in the eye can indicate a variety of conditions including conjunctivitis, dry-eye disease and tear-gland dysfunction.<\/p>\n
Clinicians increasingly use smartphones in conjunction with ophthalmic imaging equipment, such as the eyepiece of a slit lamp, because of their portability, ease of use and relatively low cost. <\/p>\n
The connectivity also allows for upload to the Cloud, which is useful for telemedicine – the remote diagnosis and treatment of patients using telecommunications technology – and Artificial Intelligence applications that store thousands of images from different institutions.<\/p>\n
However, the autofocus algorithms and hardware specifications of cameras may be different for different manufacturers which means different cameras can produce different results for the same scene. <\/p>\n
“It is important that clinicians bear this in mind,” said lead study author Carles Otero from Anglia Ruskin University in England.<\/p>\n
For the study, the researchers took 192 images of eyes using three smartphone cameras, two different lighting levels and two zoom levels. <\/p>\n
The images were duplicated and one set was white balanced and colour corrected (calibrated) and the other left unaltered.<\/p>\n
The researchers took photographs in autofocus mode with the iPhone 6s, the Google Nexus 6p and the Bq Aquaris U Lite, and found that the iPhone results were significantly different from the other two devices, when computing relative redness of each eye, and when compared to a clinician’s diagnosis. <\/p>\n
However, when the images were calibrated, the differences between lighting levels and camera types were significantly minimalised – with differences between smartphones reduced by approximately 30 per cent.<\/p>\n
“Our results show that while the clinician’s subjective evaluation was not affected by different cameras, lighting conditions or optical magnifications, calibration of a smartphone’s camera is essential when extracting objective data from images,” Otero said.<\/p>\n
(IANS)<\/p>\n","protected":false},"excerpt":{"rendered":"
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