Eye Diagnostics TRIZ Cases

A corneal endothelial cell imaging apparatus integrates analysis results from multiple capture positions to enhance measurement reliability.

Virtual image optics form targets at a distance visible from a peephole, preventing unconscious visual acuity adjustment during eye-by-eye testing.

A portable pupillometer measures pupillary responses to chromatic stimuli via infrared detection.

A tomographic image processing unit segments workflow into phases to display intermediate results for immediate quality verification.

A head-mounted vision device enables patients to self-check in and receive eye exam orders via a connected computing system.

Optimization method minimizes target functions using ray tracing across multiple gaze directions to correct astigmatic refraction during eye torsion.

A calculation method shifts control points to modify the base target isoastigmatism line for customized progressive spectacle lens designs.

A vision test measures reading speed and accuracy under controlled illumination and contrast levels.

Temporal multiplexing resolves screen area halving and chromatic distortion by alternating right and left eye images at high frequency.

Series optical fibers with different group velocity dispersion compensate for path differences, eliminating air sections to enhance measurement accuracy.

An automatic alignment system uses a processor-controlled XYZ translations stage to position an OCT imager, reducing operator dependency and examination time.

A light sensitivity meter uses an LED matrix and viewing shroud to expose eyes to controlled illumination.

A head-mountable camera system captures high-frame-rate eye images to detect saccades objectively.

A device adjusts light quantity difference between eyes to detect gaze direction changes for objective fatigue evaluation.

A dual-shielding optical attenuator adjusts light amounts using independent rotating shields and a cam mechanism.

Automated image processing determines contact lens centration and angular orientation, resolving fitting precision issues in display eyewear design.

Embedded sensors detect environmental data to adjust lighting, reducing eye strain from prolonged screen use.

A Bayesian adaptive inference system determines visual sensitivity parameters through iterative stimulus presentation and response-based probability updates.

A calculation unit transforms measured fixation disparity into prism prescription values using specific coefficients.

A sample clock signal generator produces equal frequency intervals for interference signal sampling.

A computerized system guides patient eye movement to detect floaters and calculates a severity score based on reaction time.

A spectacle lens optimization system adapts individual wearer parameters to calculate a customized surface shape based on a selected quality grade.

A vision testing device displays visual targets on a touch screen with a fixed fixation target to simplify test result interpretation.

Communication establishment unit enables remote examiners to monitor subject state via transferred images, resolving reliability gaps in remote examinations.

Motorized carousel aligns optical axes across multiple ophthalmic devices, eliminating manual lateral displacement and reducing examination time.

Augmented reality headset displays corrected images to visualize lens transmission of invisible blue and ultraviolet radiation.

A laser and scanning mirror sweep an optical signal across the eye to detect corneal reflection intensity.

A method designs aspheric intraocular lenses using power-specific axial separation parameters to optimize aberration correction.

A deflector device steers multiple optical beams with distinct orientations through electromagnetic scanning mirrors.

Multi-angle illumination and sensor arrays quantify dysphotopsia in a model eye, providing objective metrics for intraocular lens design modifications.

An artificial eye uses a voltage-controlled liquid lens to resolve the contradiction between high measurement precision and device complexity.

Optimization method combines aberration target lens data with distortion target values to minimize optical power deviations.

An eye alignment monitor tracks pupil positions using corneal light reflection to detect binocular function deficits.

Automated image processing analyzes pupil movement to resolve measurement precision versus device complexity contradictions.

A binocular amblyometer presents vertically aligned rivalrous images to measure brightness disparities between eyes.

An asymmetric focusing optics system uses two lens halves to achieve normal incidence angles on ocular surfaces.

Segments corneal measurement into independent components using OCT epithelial thickness mapping to isolate stromal shape from tear film masking effects.

A system calculates orientation discrimination thresholds using parallel and nonparallel line targets to detect macular disease.

An optical coherence tomography system uses an optical switch to toggle reference paths and combine interferograms.

Multilayer eye models segment retinal reflections to eliminate spurious aberrations caused by single-layer assumptions in conventional algorithms.

Pre-calculated reference position shifts eliminate sequential focusing delays, reducing imaging time and patient movement artifacts.

A tracking control unit adjusts an ophthalmologic imaging area based on real-time eye movement detection.

Dynamic rotating optotypes resolve static chart ambiguity by correlating perceived motion with image size to improve prescription accuracy.

Photodiode-based synchronization bypasses processing delays to align visual stimuli with high-speed eye movement measurements.

A visual field test device measures response times to primary and secondary targets across specific viewing angles.

A rotatable transducer head adjusts its angle along a guide track to maintain normal reflection from curved ocular surfaces.

Dynamic focus adjustment combines individual A-scans from varying focal positions to improve signal-to-noise ratio and reduce alignment errors.

An optical bench with adaptive optics simulates human eye behavior to generate retinal images.

A pupil frequency tagging method generates a biomarker of color perception using oscillatory pupillary responses to dynamic stimuli.