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Related Concept Videos

Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
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Published on: May 3, 2011

Novel observations and potential applications using digital infrared iris imaging.

Daniel K Roberts1, Ana S Lukic, Yongyi Yang

  • 1Illinois Eye Institute, Illinois College of Optometry, 3241 S. Michigan Avenue, Chicago, IL 60616, USA.

Ophthalmic Surgery, Lasers & Imaging : the Official Journal of the International Society for Imaging in the Eye
|March 27, 2009
PubMed
Summary

Digital infrared iris imaging reveals unique patterns in various eye conditions. This technology shows promise for both clinical diagnosis and future research applications in ophthalmology.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Digital Photography

Background:

  • Digital infrared iris photography is a novel imaging technique.
  • A database of approximately 300 subjects provided a unique opportunity to study iris patterns.

Purpose of the Study:

  • To survey a digital infrared iris image database for unique and potentially informative image patterns.
  • To illustrate the spectrum of imaging findings in various ocular conditions.

Main Methods:

  • Digital infrared iris photography was performed using a modified digital camera system.
  • A selection of photographs was compiled to showcase diverse imaging results.

Main Results:

  • Unique image patterns were observed in subjects with cataracts, diabetic retinopathy, Posner-Schlossman syndrome, iridociliary cysts, long anterior lens zonules, nevi, oculocutaneous albinism, pigment dispersion syndrome, pseudophakia, suspected vascular anomaly, and trauma.
  • Observed patterns were often unanticipated, irrespective of prior clinical information.

Conclusions:

  • Infrared iris imaging demonstrates significant potential for clinical and research applications in ophthalmology.
  • Further development and study of this imaging technology are warranted to explore its full capabilities.