Multi-Detector Tear Film Analysis for Eye Surface Abnormalities
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Solution Overview
Problem
Existing methods for assessing the tear film of the eye are often time-consuming, invasive, or limited in their ability to accurately detect abnormalities, such as inhomogeneities and instabilities, which can impact medical treatments like cataract surgery.
Innovation Solution
A multi-detector ophthalmic system using OCT, aberrometer, and reflection topographer devices, coupled with a computer, to analyze light reflections from the eye to detect and generate images of tear film abnormalities, including inhomogeneities and instabilities, by aligning data from multiple sources and assessing signal-to-noise ratios and residuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated tear film assessment devices are used, then measurement precision is improved, but device complexity and ease of operation worsen due to time-consuming procedures and invasive staining requirements
Solution Approach 1:
The patent combines multiple measuring devices (OCT device, aberrometer, reflection topographer) into a single integrated ophthalmic system that simultaneously captures multiple types of optical data from the eye. This merging eliminates the need for separate dedicated tear film assessment devices and their associated time-consuming procedures, while maintaining high measurement precision through multi-parameter analysis
Solution Approach 2:
The integrated ophthalmic system performs multiple functions: it assesses tear film abnormalities, measures corneal topography, evaluates wavefront aberrations, and generates comprehensive diagnostic images. This multi-functionality replaces multiple specialized devices with a single universal system that simplifies operation while preserving detection accuracy
2Reliability
If multiple measuring devices are integrated, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple measuring devices (OCT device for structural imaging, aberrometer for wavefront analysis, reflection topographer for surface mapping) into a unified system with shared optical paths and data processing infrastructure. This merging reduces the physical footprint and operational complexity compared to using separate devices, while maintaining the reliability benefits of multi-device data collection
Solution Approach 2:
The system processes data from different measuring devices through separate specialized modules before integrating the results. Each device's data is processed independently by dedicated analysis algorithms, then combined to form a comprehensive tear film assessment. This segmentation allows complex multi-device data to be managed through modular processing, reducing overall system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a rapid, non-invasive method for comprehensive tear film analysis, identifying abnormalities with high accuracy and generating graphical representations for clinical assessment.
Implementation Method 1
The measuring devices detect light reflected from the eye
Implementation Method 2
The measuring devices comprise an optical coherence tomography (OCT) device that directs OCT light towards the eye, detects the OCT light reflected from the eye
Implementation Method 3
The measuring devices comprise an aberrometer that directs aberrometer light towards the eye, detects the aberrometer light reflected from the eye
Implementation Method 4
The measuring devices comprise a reflection topographer that directs topographer light comprising an illumination pattern towards the eye, detects the topographer light reflected from the eye
Data Source
AI summary
In certain embodiments, an ophthalmic system for assessing a tear film of an eye comprises measuring devices and a computer. The measuring devices detect light reflected from the eye, where an ocular surface of the eye comprises the tear film, and generate data from the reflected light that describes the eye. The computer aligns the data corresponding to the same location for a plurality of locations, assesses the data at the locations to detect one or more abnormalities of the tear film, and determines a tear film description from the assessment of the data at the locations.