New OCT Image Analysis Capabilities

Get More from your OCT Images with Machine Learning

| Morrisville, NC – Wasatch Photonics is pleased to announce the expansion of our WP OCT Software and software development kits with new features to facilitate the translation of images into actionable information. These OCT image analysis capabilities lower the barrier to use for OCT by non-experts, and offer the potential for automated analysis of images in real time.

WP OCT software analysis capabilities: image enhancement, layer segmentation, and classification

The new features include image enhancement, layer segmentation, and classification functions based on powerful machine learning algorithms, and may be accessed from our user-friendly OCT image acquisition software or via our software development kits (SDKs). To help you see the possibilities, we have trained our software on a basic library of biological and industrial samples, upon which we can build to develop custom analysis parameters and capabilities for your specific application.

Contact us to schedule your personal consultation & virtual demo, or visit us at SPIE BiOS  booth #8141 / Photonics West booth #3141 to see a live demo. We challenge you to bring your samples and learn how we can help you get more from your OCT imaging!


WP OCT Software image enhancement capability

Image Enhancement

The newest plug-in to our WP OCT software and SDKs draws on the power of machine learning to provide real-time image enhancement to bring out the most important features in your OCT images. Unlike traditional image enhancement methods which average multiple scans to reduce noise, our enhanced images are generated from a single scan, capturing changes in real-time without blurring due to sample movement or vibration.

WP OCT Software layer segmentation capability

Layer Segmentation

Automated OCT image analysis often begins with identification of the surface to air boundary, allowing surface topology to be mapped and providing a reference point for measurement of layer thicknesses below. We’ve done the work for you, automating segmentation of the top layer to subtract noise above the sample or generate binary sample images. Building on this, we can develop custom analysis of the layers in your specific sample type to extract parameters like thickness, uniformity, or consistency.

WP OCT Software classification/identification capability


Applications in quality and nondestructive testing may seek to answer much simpler questions about a sample, such as “What is it?” or “Is the quality acceptable?”. Our machine learning algorithms can be trained to conclusively identify samples from a possible library, determine whether defects are present, or assess quality of the sample based on your own predefined criteria. This eliminates the need to train the operator in image analysis, and provides more rapid, objective feedback for process control or diagnostics.

All features are compatible with our WP OCT turnkey imaging systems and our Cobra series OCT spectrometers. Learn how we can help you get more from your OCT images today!


Wasatch Photonics
808 Aviation Parkway, Suite 1400
Morrisville, NC 27560 USA
Phone: +1 919-544-7785


About Wasatch Photonics Inc.

Founded in 2002, Wasatch Photonics designs, manufactures and markets high-performance optical coherence tomography (OCT) products, spectrometers and systems for Raman, fluorescence, and UV/VIS/NIR spectroscopy, and volume phase holographic (VPH) gratings for pulse compression, astronomy, spectral imaging, and OCT. Their high-performance VPH gratings, spectrometers, and systems are used in a diverse set of industries, including those in the defense and security, chemical manufacturing, pharmaceutical, medical, energy, education, computer, and electronics markets. Wasatch Photonics’ optical coherence tomography (OCT) solutions range from spectrometers and probes for research and OEM use to full plug and play systems for ophthalmology, dermatology, angiography, and nondestructive testing. For more information on Wasatch Photonics or any of their products, visit the website.

July 9, 2018