Tear film imager for dynamic mapping of the human tear film

Yoel Cohen, Shlomi Epshtein, Alon Harris, Raanan Gefen, Lawrence Kagemann, Yoel Arieli

Research output: Contribution to journalArticle


Dry eye (DE) disease is a multifactorial disease of the outer ocular surface characterized by several ocular symptoms and mainly by tear film instability. We have developed an optical imaging system, the tear film imager (TFI), which is the first instrument that can directly image the muco-aqueous tear layer physical dimension in vivo and evaluate its parameters in a noninvasive mode with nanometer axial resolution. This instrument provides quantified information about many attributes of the tear film, including muco-aqueous layer thickness, lipid layer thickness, thickness change rate, and the break-up time. The TFI performances are based on simultaneous acquisition of large field of view (FOV) imagery and fast spectrometric measurement of the interference from the thin tear film sublayers. Herein, after describing the instrument and the methodology of the measurements, we use a tear film mock-up to quantify device accuracy (2.2 nm) and repeatability (0.25 nm standard deviation). In conclusion, we present a new technology for the assessment of the tear film with an unprecedented axial resolution and excellent accuracy and reproducibility.

Original languageEnglish (US)
Pages (from-to)7987-7995
Number of pages9
JournalApplied Optics
Issue number29
StatePublished - Oct 10 2019

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Tear film imager for dynamic mapping of the human tear film'. Together they form a unique fingerprint.

  • Cite this

    Cohen, Y., Epshtein, S., Harris, A., Gefen, R., Kagemann, L., & Arieli, Y. (2019). Tear film imager for dynamic mapping of the human tear film. Applied Optics, 58(29), 7987-7995. https://doi.org/10.1364/AO.58.007987