Quick workflow
Acquire images with the rtx1
Transfer to AOdetect with 1 click
Add investigational value to your rtx1™ AO Retinal Camera
AOdetect* is an application for supervised segmentation of ultrahigh resolution images acquired with the rtx1 Adaptive Optics (AO) retinal camera.
It computes local descriptors for analyzing the distribution of parafoveal cone cells and the structure of retinal arterioles. These metrics provide candidate AO biomarkers for clinical investigations.
With AOdetect, all automated segmentations can be manually corrected in a few clicks.
*Outside the European Union, AOdetect is for research use only.
Reliable analysis
Good reproducibility
Proven by publications
Improved interface
Multi-ROI & Follow-up modes
Graphics & trend curve
Export results
Printable analysis reports
Table format for large studies
AOdetect Mosaic
For images of parafoveal cone cells
Automated mosaic segmentation and Voronoi analysis
User supervision: simple clicks to add and remove cells while monitoring the Voronoi segmentation
Mosaic descriptors
- Voronoi cell density
- Inter-cell spacing
- Regularity index
- Dispersion index
Color-coded Voronoi diagrams
- Regularity
- Density
- Spacing
AOdetect Mosaic
For images of parafoveal cone cells
Automated mosaic segmentation and Voronoi analysis
User supervision : simple clicks to add and remove cells while monitoring the Voronoi segmentation
Mosaic descriptors
- Voronoi cell density
- Inter-cell spacing
- Regularity index
- Dispersion index
Color-coded Voronoi diagrams
- Regularity
- Density
- Spacing
AOdetect Walls
For images of retinal arterioles
Automated wall segmentation and thickness computation
User supervision : the wall detection can be corrected by click-and-drag while monitoring the gradient profile
Walls descriptors
- Internal and external diameter
- Wall thickness
- Wall Cross Section Area (WSCA)
- Wall to Lumen Ratio (WLR)
rtx1 + AOdetect : cellular follow-up made easy
Thanks to its high-precision alignment algorithm, the rtx1 delivers follow-up images that are perfectly aligned with the baseline image.
AOdetect enables analyzing the exact same region of interest in baseline and follow-up images, with only a few clicks.
NEW: with each new visit, follow-up analyses are automatically updated.
It enables monitoring a specific group of cells or a chosen vascular section over time.
rtx1 + AOdetect : cellular follow-up made easy
Thanks to its high-precision alignment algorithm, the rtx1 delivers follow-up images that are perfectly aligned with the baseline image.
AOdetect enables analyzing the exact same region of interest in baseline and follow-up images, with only a few clicks.
NEW: with each new visit, follow-up analyses are automatically updated.
It enables monitoring a specific group of cells or a chosen vascular section over time.
Simplify your workflow
Equipped with AOdetect option, the rtx1 enables to obtain cellular and microvascular metrics in only 3 steps :
Enabling new progress in biomarkers
AOdetect has empowered clinical researchers to investigate a wide array of candidate biomarkers for assessing retinal anatomy and pathologies.
A number of peer-reviewed publications describe new insights into the retina in various pathologies, enabled by the rtx1’s unrivaled resolution as well as AOdetect analyzes.
Enabling new progress in biomarkers
AOdetect has empowered clinical researchers to investigate a wide array of candidate biomarkers for assessing retinal anatomy and pathologies.
A number of peer-reviewed publications describe new insights into the retina in various pathologies, enabled by the rtx1’s unrivaled resolution as well as AOdetect analyzes.
Links & Downloads
AOdetect is an option of the certified rtx1 device in the European Union, Japan and Korea.
In other territories, AOdetect is a separate product for research use only.
| Computer requirements | |
| OS | Windows XP-SP3, Vista-SP2, 7-SP1, 8 |
| RAM | 2 Gbyte or more |
| CPU | Intel i3 or higher |
| Export formats | |
| Analysis results | XLS, CSV spreadsheets |
| Segmentation | JPEG |
| Reproducibility information | |
| AOdetect Mosaic | 4% for cone density1 |
| AOdetect Walls | 3.2% for WLR2 1.3% for lumen diameter2 |
1 Legras et al. Distribution of Cone Density, Spacing and Arrangement in Adult Healthy Retinas with Adaptive Optics Flood Illumination. PLOS ONE 13, e0191141.
2 Rosenbaum et al. Imaging of retinal arteries with adaptative optics, feasibility and reproducibility. Ann Cardiol Angeiol (Paris) 2013; 62:184-188.