Our ophthalmic imaging systems

MOVU combines advanced photonics technology with proprietary data-processing algorithms to give eye care experts comprehensive, multimodal imaging data.

ARGOS® SS-OCT Biometer

ARGONAUT®

ARGONAUT® makes true whole-eye imaging a reality. Using a tunable VCSEL based Swept Source OCT system, ARGONAUT® integrates seven main modalities.

In a single sequence, ARGONAUT is designed to capture:

Anterior Segment OCT
Topography
Biometry
Keratometry

Fundus Photography
Retinal OCT
OCT-A

Once the data is captured, ARGONAUT® is designed to consolidate the imaging data into a single report.

ARGONAUT® is not yet 510(k) cleared nor available for sale.

Proprietary Technology:

Tunable VCSEL (Vertical Cavity Surface Emitting Laser)

Unprecedented speed and flexibility. Co-developed by Tokyo Institute of Technology, a tunable VCSEL is designed to enable imaging modality transformation within one device using vertically integrated optical components.

How it Works

ARGONAUT®'s patented two-aperture design is built to support all seven modalities. All measurements are designed to be completed in a single sequence.

Lower Position Upper Position

Multi-Modal Deep Learning

Make diagnoses from multiple images. AI/deep learning improves image processing and enables classification of issues using multiple images.

Simple UI and Comprehensive Reporting

Creating better care plans. Streamlined workflow and comprehensive multi-facet report helps coordinate better care plans. User-interfaces also empowers the virtual care setting between exam room and remote clinician.

FAQ

VCSEL is the special laser emitting light from the chip surface contrary to those emitting light from the edge of the diode. We integrate VCSEL with MEMS (Micro-Electro Mechanical System) to make it a wavelength-tunable/swept operation. The device is the heart of ARGONAUT® enabling long imaging range and adjustability for multi-modal imaging with just one laser.

Multi-Modal Deep Learning is an advanced algorithm that processes multiple modals as well as parameters, data from different imaging modalities. Diagnostic information can be linked between different symptoms and signs in different data and images. Beyond diagnosing a single disease, this provides more useful, accurate health conditions and diagnosis for early care management. ARGONAUT uses Multi-Modal Deep Learning to become a single source of big data for early diagnosis as well as the ultimate tool for developing a new interdisciplinary research field.

While tunable VCSEL supports multiple-imaging modalities by switching the speed and range, state-of-the-art optical systems are carefully designed to provide best image quality for each modality sharing a single tunable VCSEL. A smooth transition supports easy measurements and a seamless workflow for both patients and users.