- Phoenix-Micron collaborates with ArtiKode Intelligence to enhance OCT segmentation and analysis.
- ArtiKode, stemming from Universidad Politécnica de Valencia, pioneers AI techniques for OCT segmentation.
- Advanced deep learning algorithms automate the detection and segmentation of retinal layers in rodent OCT scans.
- Integration into MICRON OCT workflow promises immediate access to precise analysis tools.
- The collaboration marks a milestone in leveraging AI for ophthalmic research, aiming to revolutionize OCT image analysis.
Main AI News:
Phoenix-Micron, Inc., renowned globally for its expertise in in vivo ophthalmic imaging of small animals, has unveiled a groundbreaking collaboration with ArtiKode Intelligence, an innovative entity based in Valencia, Spain, specializing in artificial intelligence (AI) and machine learning. This partnership aims to introduce advanced, automated optical coherence tomography (OCT) segmentation and analysis capabilities to the MICRON Software Suite.
ArtiKode originated from the esteemed Computer Vision & Behaviour Analysis Lab at Universidad Politécnica de Valencia. Their pioneering work in computer vision and AI techniques for OCT segmentation, initially showcased in their 2020 publication, has evolved into state-of-the-art deep learning algorithms tailored for ophthalmic image analysis.
These cutting-edge algorithms undergo rigorous training on an extensive dataset of rodent OCT scans sourced from MICRON systems, facilitating automated detection and segmentation of up to eight distinct retinal layers. The incorporation of this AI model directly into the MICRON OCT imaging workflow promises researchers immediate access to precise analysis and visualization tools, significantly augmenting MICRON imaging efficiency and data precision.
“We are excited to collaborate with ArtiKode Intelligence in integrating this transformative AI capability into our OCT product line,” remarked J. Scott Carr, CEO of Phoenix-Micron, Inc. “Empowering our core products with AI and deep learning represents a pivotal advancement in our commitment to furnishing advanced ophthalmic research instruments that expedite preclinical discoveries and enrich our understanding of retinal health.“
ArtiKode Intelligence boasts a dedicated team of adept researchers and engineers who are steadfast in pushing the frontiers of computer vision and artificial intelligence. Valery Naranjo, co-founder of ArtiKode and director of the Computer Vision and Behavior Analysis lab, expressed, “This collaboration with Phoenix-Micron marks a significant milestone for ArtiKode Intelligence. By leveraging our AI and deep learning proficiency in ophthalmic research, we aspire to revolutionize the analysis and interpretation of OCT images, ultimately leading to improved patient outcomes.”
The groundbreaking AI-powered OCT segmentation feature is set to debut at the forthcoming ARVO 2024 conference in Seattle, WA, USA, and will be universally accessible with the Fall 2024 release of the MICRON Software Suite.
Conclusion:
The collaboration between Phoenix-Micron and ArtiKode Intelligence represents a significant advancement in ophthalmic imaging technology. By integrating AI-driven OCT segmentation into their product line, Phoenix-Micron is poised to lead the market in providing researchers with enhanced tools for precise analysis, ultimately driving innovation in the field of ophthalmic research and improving patient outcomes.
