A universal MagSafe adapter that quickly and securely mounts any iPhone (12–16) or iPad mini to a slit lamp, making clinical photography effortless. It supports RAW/DNG capture for AI-ready analysis and integrates Halo illumination—white, fluorescein excitation, and red-free—for consistent, high-quality imaging. With this system, clinicians can easily visualize meibomian glands, document tear film dynamics, and perform advanced imaging—all without the cost or complexity of dedicated cameras.

The Importance of the Halo Light

Conventional slit lamp illumination no longer meets the demands of contemporary examinations and AI-driven photography. Although a slit beam provides an optical cross-section, its intensity is often too harsh and unsuitable for external ocular assessments—after all, how many flashlights emit a slit beam?

1. The Halo Light addresses these limitations by offering: Diffuse white light that ensures natural visualization and superior photographic quality.

2. An innovative red-free Meibography light that distinctly highlights all meibomian glands—comparable to infrared imaging but applicable in any clinical environment. An improved fluorescein exciter light with an expanded field of view, enhancing the visibility of subtle micro-details and tear film dynamics.

With the Halo Light, clinicians benefit from illumination specifically engineered for modern imaging, documentation, and AI analysis.

Before and After Clarity

On the left, fluorescein LED reveals extra detail—perfect for showing patients what we see. On the right, post-treatment images demonstrate real progress. No more guessing—just visible results.

AI offers the potential for more detailed analysis than traditional observation or IR Meibography. The image above illustrates acinar spaces and vasculature details that are not visible with IR imaging. Utilizing computer vision via your smartphone, the glands can be precisely identified, with colorimetric analysis of gland contents and vascular structures conducted for comprehensive evaluation.

Machine learning represents a promising advancement that will enhance the early detection and treatment of MGD in its initial stages.

Every patient with dry eyes gets a lower lid screening which is quick and easy. No need to move patients to use IR screening. Simply pull down the lid and look with an educated eye.