Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images

Jonathan Oakley has a B.Sc. in Computer Science from the University of York, England, a Masters from the department of Medical Physics at University College, London, and a Ph.D. in medical image processing from the Swiss Federal Institute of Technology. Since then, he has spent over ten years working on image processing algorithm development for KLA-Tencor, Fujifilm and, most recently, Carl Zeiss Meditec Inc., where he worked exclusively in OCT. While at Zeiss, he was responsible for motion correction, image registration and various anatomical segmentation algorithms including the Optic Nerve Head as well as retinal layer segmentation algorithms, some of which have generated new scientific findings and consequently new market opportunities for ophthalmic imaging in the neurological domain. In 2010 he and Daniel Russakoff formed Voxeleron LLC.
Orion is our flagship product targeted at reading centers burdened with the laborious task of manual segmentation, CROs running clinical trials lacking relevant imaging-based biomarkers, and clinical researchers overwhelmed by data and hamstrung by the limited image analysis tools available...It is the most advanced OCT analysis software package available today, and our road map is comprehensive, including change analysis in the next release.In Orion is in Beta - Voxeleron prepares the release of their advanced OCT analysis software
We’re very excited by the opportunity to work with Phoenix. Clearly they have a strong portfolio of technologies optimized for animal eye research, so the addition of image analysis software can only strengthen their customers’ ability to effectively perform fundamental research.In Phoenix Research Labs Partners with Voxeleron to Advance Technology for Eye Research