In the News

Voxeleron launches iNebula™, a cloud-based platform for optimized ophthalmic clinical trial workflow iNebula seeks to advance every aspect of clinical trial management, from initial recruitment through post-hoc analysis SAN FRANCISCO, CA – May 2, 2022: Voxeleron, a cloud-based platform provider that analyzes and tracks all formats of ophthalmic data, today…

Digital Angiography Reading Center (DARC)/WorldCare Clinical Adds Voxeleron To Analysis Pipeline  DARC Continues Investment in Best-in-Class Ophthalmology Service with Orion™ by Voxeleron OCT Image Analysis Software  SAN FRANCISCO, CA – April 26, 2022: Voxeleron, a cloud-based platform provider that analyzes and tracks all formats of ophthalmic data, announced today that…

Voxeleron at ARVO 2022 It's great that ARVO commences again as an in person conference, so we very much look forward to interacting with fellow researchers and the community as a whole.  In the downtime we have at least been busy so very excited to introduce our recent work at…

Introducing ZoneDetectTM We are pleased to announce the release of ZoneDetectTM, OrionTM’s new 2d segmentation tool.  ZoneDetect provides a fast, intuitive method for precise segmentations of 2D structures. Once approved by the reader, the measure is ready to be recorded and stored via iNebulaTM, where it will be secure and…

This past week clinical researchers from the Jacobs Retina Center at the Shiley Eye Institute of the University of California San Diego published a thorough evaluation of our Orion software to assess its suitability for research settings such as clinical trials.  Published in Nature's Scientific Reports (available at this link),…

Deep Learning-Based Analysis of Macaque Corneal Sub-Basal Nerve Fibers in In Vivo Confocal Microscopy Images This was a presentation given as part of the Blaustein Pain Grand Rounds Conferences held at Johns Hopkins University School of Medicine. It gives an overview of the collaboration between Prof. Mankowski's lab and Voxeleron…

Introduction This post is the third in our series of notes from ARVO.  It follows an initial introductory post about deep learning-based segmentation and a follow-up post that covered prediction models in AI.  This post brings attention back to the more traditional image processing and computer vision methods that underpin…

Introduction This post is the second in our series of notes from ARVO.  It follows an initial introductory post - here - that covered deep learning-based segmentation, with a focus on geographic atrophy.  This dovetails nicely into these notes that cover prediction models in AI. AI in the retina: Prediction…

Introduction ARVO this year was very different to say the least.  And while there was clearly a ton of excellent research presented, which was the one consistent thing about this year’s event, the inability to interact with fellow researchers was the significant down side.  I visited many posters and left…

Voxeleron at ARVO 2021 While disappointed that we cannot meet again this year in person, we at Voxeleron are happy to instead meet virtually. We're available to meet throughout the conference - just use the "Talk Now" button - and would welcomg the opportunity for demos and conversations. In particular,…