A simple infrared-augmented digital photography technique for detection of pupillary abnormalities

  • Tarek A. ShazlyEmail author
  • G. R. Bonhomme



The purpose of the study was to describe a simple infrared photography technique to aid in the diagnosis and documentation of pupillary abnormalities.


An unmodified 12-megapixel “point and shoot” digital camera was used to obtain binocular still photos and videos under different light conditions with near-infrared illuminating frames. The near-infrared light of 850 nm allows the capture of clear pupil images in both dim and bright light conditions. It also allows easy visualization of the pupil despite pigmented irides by augmenting the contrast between the iris and the pupil.


The photos and videos obtained illustrated a variety of pupillary abnormalities using the aforementioned technique.


This infrared-augmented photography technique supplements medical education, and aids in the more rapid detection, diagnosis, and documentation of a wide spectrum of pupillary abnormalities. Its portability and ease of use with minimal training complements the education of trainees and facilitates the establishment of difficult diagnoses.


Infrared Pupil Anisocoria Horner Ptosis Adie's syndrome 


Financial disclosure

The financial disclosure is as follows:

Author 1: Tarek A Shazly, M.D. FRCS (Glasg): None

Author 2: Gabrielle R. Bonhomme, M.D.: None

Supplementary material

Video 1

Video was captured using the infrared augmented technique with the point and shoot camera in video mode. Using the near-infrared goggles in dim light, the asymmetry in the size of the pupils is noticeable. With direct illumination of each eye, no change in the size of either pupils occurs. However, on fixation on a near target, both pupils constrict and right pupillary irregularity became more evident. (WMV 6801 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of OphthalmologyUniversity of Pittsburgh Medical CenterPittsburghUSA

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