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Area of Science:

  • Visual Science
  • Ophthalmic Optics
  • Computational Vision

Background:

  • Optical models of the human eye are foundational in visual science.
  • They serve as frameworks for explaining optical phenomena and predicting refractive changes.
  • Models are used as computational tools to understand visual limitations.

Purpose of the Study:

  • To clarify the concept of optical model eyes and their diverse applications.
  • To review theoretical types of optical models, from simple to complex.
  • To guide the selection of appropriate models based on specific research needs.

Main Methods:

  • Discussion of 'encyclopaedia' and 'toy train' modeling approaches.
  • Categorization of optical models by anatomical accuracy (single, three, four refracting surfaces).
  • Exploration of advanced models including nested shells, gradient index, and finite models accounting for aberrations.

Main Results:

  • Identification of limitations in paraxial models for wide fields of view and aberrations.
  • Emphasis on the necessity of finite models with features like aspheric surfaces and curved retinas for accurate image quality prediction.
  • Highlighting the need for adaptable models that account for individual variations (age, gender, ethnicity, refractive error, accommodation).

Conclusions:

  • The choice of optical model should adhere to the principle of using the simplest model that fits the task.
  • Future optical models will likely incorporate greater adaptability and individual customization.
  • Historical developments and key contributors to visual optics are interwoven throughout the review.