Categories: Healthcare Technology / Ophthalmology Imaging

From Human Retina to Artificial Eye: KRISS Creates a New Standard for Ophthalmic Imaging

From Human Retina to Artificial Eye: KRISS Creates a New Standard for Ophthalmic Imaging

Overview: A Leap Forward in Ophthalmic Imaging

The Korea Research Institute of Standards and Science (KRISS) has introduced a groundbreaking retina-mimicking eye phantom that closely replicates the human retina’s layered structure and intricate microvascular network. This innovation promises to redefine how ophthalmic imaging systems are calibrated, tested, and validated, offering a reliable standard that mirrors real-world biological complexity.

What Is an Eye Phantom and Why It Matters

Eye phantoms are biomimetic models used to simulate the optical and vascular properties of the eye. They enable developers and clinicians to evaluate imaging modalities—such as optical coherence tomography (OCT), fluorescein angiography, and angiographic CT—without patient risk. KRISS’s retina-mimicking model stands out by faithfully reproducing both the structural layers (from the nerve fiber layer to the choroid) and the microvascular networks that are critical for diagnosing diseases like diabetic retinopathy or age-related macular degeneration.

The KRISS Innovation: How the Phantom Reflects the Retina

The new phantom features multiple concentric layers that mimic the optical, mechanical, and vascular properties of the human retina. Engineers designed microchannels to emulate capillary networks, enabling realistic flow dynamics and contrast agent behavior. This level of detail provides a testbed for evaluating image resolution, depth penetration, and vascular imaging performance. By replicating physiological variations found across patients, the phantom ensures imaging systems are robust, accurate, and consistent.

Technical Highlights

  • Layered retinal anatomy replicated with high fidelity
  • Microvascular network designed for realistic perfusion simulations
  • Compatibility with common ophthalmic imaging modalities
  • Standardized geometry supports cross-compatibility testing

Impact on Industry Standards and Clinical Practice

Imaging devices must meet stringent accuracy requirements to support early disease detection and monitoring. Traditional phantoms often simplified vascular architecture or tissue properties, potentially masking limitations in imaging systems.KRISS’s retina-mimicking phantom addresses these gaps by providing a more authentic platform for performance verification, leading to better calibration, more reliable diagnostics, and faster regulatory approvals for new imaging technologies.

Implications for Researchers, Manufacturers, and Patients

For researchers, the phantom offers a repeatable, realistic substrate to quantify how well an imaging system resolves fine vascular details and how artifacts may affect interpretation. Manufacturers gain a rigorous standard to optimize hardware and software algorithms, ensuring consistent quality across production batches. Most importantly, patients could benefit from more accurate imaging that supports earlier detection of retinal diseases, tailored treatment planning, and improved monitoring of disease progression.

Future Directions and Collaboration

KRISS envisions the retina-mimicking eye phantom as a platform for ongoing refinement. Collaborative efforts with academia, healthcare providers, and industry partners will likely expand its capabilities—such as incorporating dynamic physiological responses or integrating with other ocular models—to cover a broader range of imaging conditions. The standardization potential extends beyond Korea, offering international compatibility that could harmonize test protocols for ophthalmic devices worldwide.

Conclusion: Setting a New Benchmark in Ophthalmic Imaging

KRISS’s retina-mimicking eye phantom represents a significant milestone in biomimetic testing and standardization for ophthalmic imaging. By accurately simulating the retina’s layered structure and microvascular networks, it provides a robust, reproducible benchmark for device evaluation, ultimately supporting improved disease detection and patient outcomes.