Ramona Optics combines computational techniques with novel optics to reinvent what is possible with a microscope.

Ramona Optics develops and sells computational microscope hardware and machine learning software for large field-of-view (300mm by 200mm), high resolution (5-10 micron) imaging. Ramona Optics’ microscopes provide gigapixel images in a small form factor, which opens up a variety of new applications:


Capturing Cellular-Scale Resolution Over an Entire Petri Dish


Freeing Researchers from the Limitations of Classical Optics


Faster, More Accurate Inspection with Machine Learning

Capturing Cellular-Scale Resolution Over an Entire Petri Dish


Optical microscopy continues to be the tool of choice for the zebrafish research community. However, capturing clear images of relevant biological phenomena still remains a challenging task. It is not possible to simultaneously image a wide area and maintain high resolution using current microscope technology.

At Ramona Optics, we are developing a new patent-pending gigapixel microscope that can capture cellular-scale resolution (5-10 µm) in 3D over an entire 100 mm diameter Petri dish. This unprecedented resolution/field-of-view combination opens up a new horizon for high-throughput, non-invasive imaging of the motion, behavior and activity of unconstrained organisms.


Freeing Researchers from the Limitations of Classical Optics


Our microscope acquires high-resolution gigapixel images (with 1 billion pixels) in a single snapshot.  This new capability frees researchers from the historical limitations imposed by classical optics, which typically can only capture megapixel-scale images from a small sample area. For high-throughput imaging applications, such as digital pathology, cell culture analysis and fluorescent screening, this unprecedented level of throughput can help save time, reduce cost and improve overall system performance.


Faster, More Accurate Inspection with Machine Learning


Our gigapixel microscope can capture data from nearly one square foot of area without using any moving parts. In combination with new types of sample illumination and using machine learning to process the acquired image data, we are currently pushing automated optical inspection to new levels of performance.  Please get in touch with us to learn more about this exciting area of development.

Mark 2017.jpg

Mark Harfouche


BS – Toronto

PhD – Caltech

Roarke Horstmeyer

Scientific Director

BS – Duke

MS — MIT Media Lab

PhD – Caltech

Ron Appel

Machine Vision Lead

BS – Toronto

PhD – Caltech

Margaret Aery

Head of Operations

BA – Duke


We are looking for talented people to hire with a background in optics, signal processing, machine learning and/or computational imaging. 

If you are interested, please send an email to mark@ramonaoptics.com, and we can set up a time to chat.


Looking for Optical Wavefront Laboratories? We recently changed our name to Ramona Optics.

To learn more about our company, contact us at info@ramonaoptics.com