If we can agree on what OCT B-scans are showing, we can tackle retinal diseases at a new level of precision, including age-related macular degeneration. Especially if we can empower human experts to train A.I.-driven algorithms! Our paper on band visibility using <3 µm axial resolution High-Resolution OCT from Heidelberg Engineering is online at @TVST https://lnkd.in/emtm9UwJ And a zip of the supplementary materials https://lnkd.in/eMgyND2T Check out the 28 bands and a defined foveal center, assessable with new review software that incorporates classic and new histology and ultrastructure. Image review by Lukas Goerdt, software by Kenneth Sloan, image capture by Mark Clark, MEng and Tracy Thomas, and the awesome ALSTAR2 research team at UAB led by Cynthia Owsley and myself, all pitched in. Deepayan Kar, PhD, MS Kar and the Human Foveal Connectome team separately published volume electron microscopy supporting band designation (thanks Dennis Dacey and Andreas Pollreisz).
Its one of the best paper that I have Read. Thanks
Amazing work… don’t retire anytime soon please .
Insightful
Thanks four your outstanding work as usual 🙏🏼
Fascinating paper - Great work Dr Curcio & team 👏👏
Congratulations for this wonderful and very inspiring paper, Dr. Cursio. Can this algorithm be used with SD-OCT images, as well?
Love this
Vitreoretinal Surgeon, Retina Consultant & Senior Vice President, Clinical Research and Development, and Therapeutic Area Head, Ophthalmology.
15hAmazing work, so privileged to be able to live in this time and see and learn from you. Thanks