Related Experiment Video
Updated: Jan 2, 2026

05:46
Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity
Published on: September 20, 2024
726
Pre-operative simulation of post-operative multifocal vision
Maria Vinas1, Sara Aissati2, Mercedes Romero1
1Institute of Optics, Spanish National Research Council, IO-CSIC, Serrano, 121, Madrid 28006, Spain.
Biomedical Optics Express
|December 5, 2019
Summary
Visual simulations accurately predict patient vision with multifocal intraocular lenses (MIOLs) before surgery. This study confirms that pre-operative simulations align well with post-operative results, aiding in MIOL selection.
Area of Science:
- Ophthalmology
- Optics
- Visual Science
Background:
- Multifocal intraocular lenses (MIOLs) are widely used to correct presbyopia.
- Predicting visual outcomes with MIOLs pre-operatively remains challenging.
- Understanding patient perception of multifocal correction is crucial for surgical planning.
Purpose of the Study:
- To evaluate the accuracy of visual simulation technologies in predicting vision with multifocal intraocular lenses.
- To compare pre-operative simulated MIOL vision with post-operative actual MIOL vision in the same patients.
- To assess the reliability of adaptive optics and clinical simulators for MIOL performance prediction.
Main Methods:
- Two simulation platforms were employed: an adaptive optics (AO) system (SLM and SimVis) and a wearable clinical simulator (SimVis Gekko).
- A trifocal diffractive MIOL (POD F, FineVision) was simulated pre-operatively and implanted post-operatively in eight patients.
- Through-focus decimal visual acuity (TF VA) was measured monocularly (AO) and binocularly (clinical simulator).
Main Results:
- Pre-operative visual simulations closely predicted post-operative TF VA performance.
- The average RMS difference between simulated and actual MIOL TF VA curves was low (0.06 ± 0.01).
- TF curves showed high correlation between simulators and with actual implanted MIOL results (rho = 0.889 and 0.853, respectively).
Conclusions:
- Visual simulation technologies are effective tools for predicting visual performance with MIOLs.
- Both AO systems and clinical simulators provide reliable pre-operative predictions of MIOL outcomes.
- Pre-operative visual simulations demonstrate good agreement with post-operative patient data, aiding in MIOL selection and patient counseling.

