AOdetect™

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.

Photoreceptor mosaic analysis

Microvascular structure analysis

Quick workflow

Acquire images with the rtx1
Transfer to AOdetect with 1 click

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 :

Acquire AO images
of cells or vessels with the rtx1
Transfer in 1 click
to AOdetect for analysis
Run segmentation
and get instant measurement

AOdetect Mosaic
Multi ROI mode
AOdetect Wall
Follow-up mode

1 2

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.

See Publications

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.

See Publications

The quantitative assessment of photoreceptor survival or loss, based on analysis of adaptive optics retinal images, was valuable to monitor disease progression at a cellular level.

Ziccardi et al.American Journal of Ophthalmology 160, 301-312.e6 – Read more in the article

In arterial hypertension, WLR is a robust, dimensionless parameter that can be measured on large cohorts of nondilated patients.

Paques et al.Progress in Retinal and Eye Research. DOI: 10.1016/j.preteyeres.2018.07.001 – Read more in the article

It could represent, in the near future, an evaluation to be performed in all hypertensive patients.

Agabiti-Rosei et al.Journal of Hypertension 35, 914–921

We also tested the reproducibility of the method. We observed an averaged difference of less than 4% between investigators.

Legras et al.PLOS ONE 13, e0191141 – Read more in the article

The difference of two measurements was less than 6%, confirming the good repeatability of the rtx1.

Legras et al.PLOS ONE 13, e0191141 – Read more in the article

The AO images revealed that the parafoveal cone density was reduced even with good visual acuity at stages 1 and 2 of CACD.

Gocho et al.Ophthalmic Surg Lasers Imaging Retina 47, 1115- 1126

High-resolution retinal imaging analysis, such as that by AO, would be helpful in identifying patients with CEP250 associated disease.

Kubota et al.Ophthalmic Genetics, 2018 – Read more in the article

In early MacTel 2 eyes with near-normal vision, AO is able to show cone density loss in the macula, without loss of the ellipsoid zone on OCT.

Jacob et al.Jacob et al. Retina 36, 545–551 – Read more in the article

AOdetect Mosaic - Segmentation of parafoveal cone cells

AOdetect Mosaic - Multi-ROI mode - Report

AOdetect Mosaic - Follow-up mode - Report

Links & Downloads

Product brochure
AOdetect biomarker software

Download

AOdetect is an option of the certified rtx1 device in the European Union and in Japan.
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.

AOdetect™

Add investigational value to your rtx1™ AO Retinal Camera

Quick workflow

Reliable analysis

Improved interface

Export results

AOdetect Mosaic

For images of parafoveal cone cells

Mosaic descriptors

Color-coded Voronoi diagrams

AOdetect Mosaic

For images of parafoveal cone cells

Mosaic descriptors

Color-coded Voronoi diagrams

AOdetect Walls

For images of retinal arterioles

Walls descriptors

rtx1 + AOdetect : cellular follow-up made easy

rtx1 + AOdetect : cellular follow-up made easy

Simplify your workflow

Acquire AO images

Transfer in 1 click

Run segmentation

AOdetect Mosaic

AOdetect Wall

Enabling new progress in biomarkers

Enabling new progress in biomarkers

Links & Downloads

AO retinal camera

Published articles

Contact us for more information

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