
Ophthalmic innovation in sight.
Advancing technology through collaboration.

Another ARVO in the books!
See you next year in Seattle.
We had a great time with you in the ZEISS booth and at our reception, and we hope you are as inspired as we are about the future of ophthalmic imaging.

ARVO Posters & Presentations
Starring...our ZEISS scientists!
Want to know more about the research and innovation that was showcased in New Orleans by ZEISS during ARVO 2023 and Imaging in the Eye?
You can now download presenter posters below and review the titles and authors of the nine talks presented during ARVO and Imaging in the Eye (IITE).
Presentations
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Downloads are not available for presentations.
Usability comparison of white light microscopy and stereoscopic visualization of 4D-miOCT in ophthalmic procedures
Florian Kapeller
Imaging the full eye with low-cost swept-source optical coherence tomography
Milana Kendrisic
Visualization of cataract workflow utilizing four-dimensional microscope-integrated optical coherence tomography in an ex vivo porcine eye model
Philipp Matten
High quality swept-source 4D-OCT at MHz A-scan rates with real-time denoising
Jonas Nienhaus
Targeting the molecular information of the retina with Raman spectroscopy
Ryan Sentosa
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Downloads are not available for presentations.
Stereoscopic visualization of real-time intraoperative four-dimensional optical coherence tomography in ophthalmology
Florian Kapeller
Test-retest repeatability of a reduced density central visual field test
Gary Lee
Denoising of surgical microscope-integrated optical coherence tomography images
Jonas Nienhaus
Towards in vivo molecular imaging of the retina: OCT guided - Raman spectroscopy
Ryan Sentosa
Posters
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Comparison of two retinal tracking methods using infrared-reflectance (IR) fundus images
Homayoun Bagherinia, et al.Imaging the intraocular lens with anterior segment add-on lens
Amanda Carpenter, et al.Comparison of microaneurysm detectability between MHz WF-OCTA and kHz WF-OCTA in advanced diabetic retinopathy
Kim Huber, et al.Single shot widefield swept-source OCT imaging with 90-degree add-on lens
Kique Romero, et al.Widefield OCTA vasculature visualization in SS-OCT
Lukas Rothmann, et al.Choroidal thickness agreement between manual and multilayer segmentation in wide field SS-OCT scans
Ali Salehi, et al.Optic nerve head localization in OCT en face images via deep ellipse regression
Thomas Schlegl, et al.Quantitative analysis before and after self-supervised denoising on OCTA Images
Qinqin Zhang, et al. -
Core-set based batch-mode active learning for intelligent training of optical coherence tomography (OCT) based retinal pathologies detection models
Mengze Li, et al.A novel approach for remote monitoring of European exudative AMD patients using macular thickness maps
Ian Raden, et al.Comparison of Open Neural Network Exchange (ONNX) and TensorFlow based inferences for the B-scan of interest algorithm
Hugang Ren, et al.Multi-pathology classification of retinal OCT scans
Ali Salehi, et al.One Single Model for GA segmentation with multiple scan patterns and OCT instruments
Qinqin Zhang, et al. -
Usability comparison of a retinal screener between experienced and non-experienced user
Angie Covita, et al.A heuristic method for automatically controlling image brightness in widefield fundus angiography sequences
Katharina Foote, et al.Ultra-widefield fundus imaging using CLARUS improves ETDRS grading with classic 7-field fundus photographs
Sejal Ghate, et al.Diabetic retinopathy (DR), a window for prediction of potential stage of diabetic kidney disease (DKD) and its progression: An Analysis of real-world data
Mansi Gupta, et al.Simultaneous FA+ICGA enables improved accuracy of multimodal image registration
Aaron Kho, et al.
Speckle reduction in clinical widefield fundus imaging using a pulse-tuned laser diode
Conor Leahy, et al.Artificial intelligence based referral and progression of diabetic kidney disease using retinal fundus images
Raghu Prasad, et al. -
Assessing the influence of stimulus size on defect detectability in the central visual field
Luke Chong, et al.
Evaluating the central visual field with a reduced density test pattern and size V stimulus
Collins Opoku-Baah, et al. -
A deep learning method for Bruch’s membrane segmentation for choroidal analysis in SS-OCT
Homayoun Bagherinia, et al.Choroidal thickness comparison between deep learning and multilayer segmentation
Julian Bolter, et al.Performance of an ultrafast Megahertz widefield OCTA device in the detection of microvascular lesions in advanced diabetic retinopathy
Kim Huber, et al.A deep learning-based segmentation method of anterior segment in SS-OCT
Rohit Kharat, et al.
Volumetric montage for large field of view optical coherence tomography angiography scan
Warren Lewis, et al.Stable classification of diabetic structures from incorrectly labeled OCTA enface images using multiple instance learning
Philipp Matten, et al.Anterior segment axial motion correction using the cornea surface
Gwen Musial, et al.OCTA in iris and sclera with anterior segment add-on lens and tracking
Zahra Nafar, et al.Exploiting data characteristics to improve automated optic nerve head segmentation and localization in OCT en face images
Thomas Schlegl, et al.Anterior segment dewarping using swept source OCT (SS-OCT) cube scans
Nelson Tate, et al.One Single Model for GA segmentation with multiple scan patterns and OCT instruments
Qinqin Zhang, et al. -
Sensitivity of patient refractive error to OCT quality and segmentation confidence for macular thickness maps using low-cost OCT
Anirudh Ashok, et al.Comparison of macular thickness maps of a clinical SD-OCT and a low-cost self-administered OCT system
Mahsa Darvishzadeh, et al.Performance comparison of macular thickness generated from a low-cost OCT with a commercial OCT system
Niranchana Manivannan, et al.A novel approach for remote monitoring of European exudative AMD patients using macular thickness maps
Ian Raden, et al.Agreement between OCT signal quality and segmentation confidence maps in low-cost OCT
Lukas Rothmann, et al. -
Performance of an ultrafast Megahertz widefield OCTA device in the detection of microvascular lesions in advanced diabetic retinopathy
Kim Huber, et al.Stable classification of diabetic structures from incorrectly labeled OCTA enface images using multiple instance learning
Philipp Matten, et al.Exploiting data characteristics to improve automated optic nerve head segmentation and localization in OCT en face images
Thomas Schlegl, et al.