Retrospective clinical examination data (previously collected in study B-2018-3)
Retrospective clinical scans were used to evaluate the precision and agreement of the new automatic scleral spur detection (ASSD) feature compared to manual annotation.
B-2023-1; Prospective image grading study using retrospective subject examination data
51 subjects (25 Open Angle Eye, 26 Narrow Angle Eye); Sample Size: 51 subjects; Number of Sites: 1
Manual scleral spur annotation (MSSA)
Precision (repeatability/reproducibility) and agreement of scleral spur-related parameters (STS, SSA500, AOD500, TISA500, LV)
Indications for Use
The ANTERION is a non-contact ophthalmic imaging and analysis device for the eye. It is intended for visualization and measurement of the anterior segment and the measurement of the axial length. The analysis covers: Cornea Thickness Anterior Segment o Anterior chamber width, depth, volume and angle parameters o Lens Thickness Axial Length
Device Story
ANTERION is a non-contact diagnostic imaging device using swept-source optical coherence tomography (SS-OCT) and an infrared (IR) camera; used in clinical settings by eye care professionals. Hardware includes imager, base, and motorized chin rest; software (V.1.5.2) manages image acquisition (AQM) and viewing (VWM). Device captures cross-sectional OCT images and en-face IR images; processes data via four licensed Apps (Imaging, Cornea, Cataract, Metrics) to provide measurements of corneal geometry, anterior chamber parameters, lens thickness, and axial length. Modification adds automatic scleral spur detection (ASSD) in Metrics App. Clinicians review images and measurements on GUI; ASSD allows manual adjustment. Output supports clinical decision-making for anterior segment assessment and cataract surgery planning. Benefits include non-invasive, repeatable, and precise ocular biometry.
Clinical Evidence
Prospective image grading study (B-2023-1) using retrospective data (n=51; 25 open-angle, 26 narrow-angle). Evaluated precision (repeatability/reproducibility) and agreement of ASSD-derived scleral spur parameters (STS, SSA500, AOD500, TISA500, LV) against manual annotation (MSSA). Results showed ASSD precision was similar between open and narrow-angle eyes. Agreement analysis (Bland-Altman/Deming regression) showed 95% CIs of mean differences included or were close to zero, and slopes were close to 1, confirming performance comparable to manual methods.
Technological Characteristics
Swept-source OCT (1310 nm center wavelength); IR camera (768x576 px). OCT axial resolution <10 μm; lateral resolution 30-45 μm. A-scan rate 50,000 Hz. Connectivity: PC-based, interface for external Patient Data Management System (HEYEX 2/PACS). Software: V.1.5.2, license-locked Apps. Electrical safety: IEC 60601-1:2020; EMC: IEC 60601-1-2:2020. Biocompatibility: ISO 10993-1:2018.
Indications for Use
Indicated for non-contact ophthalmic imaging and analysis of the anterior segment and axial length in patients of all age groups, including neonates, infants, children, adolescents, and adults.
Regulatory Classification
Identification
An ophthalmoscope is an AC-powered or battery-powered device containing illumination and viewing optics intended to examine the media (cornea, aqueous, lens, and vitreous) and the retina of the eye.
Special Controls
*Classification.* Class II (special controls). The device, when it is an AC-powered opthalmoscope, a battery-powered opthalmoscope, or a hand-held ophthalmoscope replacement battery, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 886.9.
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FDA U.S. FOOD & DRUG ADMINISTRATION
September 11, 2026
Heidelberg Engineering GmbH
% Lena Sattler
Consultant
Orasi Consulting, LLC
226 1st St.
Bonita Springs, Florida 34134
Re: K261019
Trade/Device Name: Anterion
Regulation Number: 21 CFR 886.1570
Regulation Name: Ophthalmoscope
Regulatory Class: Class II
Product Code: OBO
Dated: August 3, 2026
Received: August 3, 2026
Dear Lena Sattler:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K261019 - Lena Sattler
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn).
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Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# BRADLEY S. CUNNINGHAM -S
CAPT Bradley Cunningham, MSE, RAC
Acting Assistant Director
DHT1A: Division of Ophthalmic Devices
OHT1: Office of Ophthalmic, Anesthesia,
Respiratory, ENT, and Dental Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K261019 | ? |
| Please provide the device trade name(s). | | ? |
| ANTERION | | |
| Please provide your Indications for Use below. | | ? |
| The ANTERION is a non-contact ophthalmic imaging and analysis device for the eye. It is intended for visualization and measurement of the anterior segment and measurement of the axial length.The analysis covers:Cornea ThicknessAnterior Segmento Anterior chamber width, depth, volume and angle parameterso Lens ThicknessAxial Length | | |
| Please select the types of uses (select one or both, as applicable). | Prescription Use (21 CFR 801 Subpart D)Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
| Please select the age group(s) for which the device(s) is to be used. | Neonates/Newborns (Birth to < 29 days old)Infants (29 days old to < 2 years old)Children (2 years old to < 12 years old)Adolescents (12 years old to < 22 years old)Adults (22 years old and greater) | ? |
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K261019
# 510(K) SUMMARY
Date Prepared
September 10, 2026
## SPONSOR/510(K) OWNER/ MANUFACTURER
Heidelberg Engineering GmbH
Max-Jarecki-Strasse 8
69115 Heidelberg, Germany
Telephone:
+49 6221 / 64 63 0
Facsimile:
+49 6221 / 64 63 62
Email:
arianna.schoess.vargas@heidelbergengineering.com
Establishment Registration No.:
8043762
## OFFICIAL CONTACT PERSON
Lena Sattler
Orasi Consulting, LLC.
226 1st Street
Bonita Springs, FL 34134
Telephone:
(440) 554-3706
Facsimile:
(866) 904-4315
E-mail:
lena@orasiconsulting.com
## PROPRIETARY OR TRADE NAMES
ANTERION
## CLASSIFICATION INFORMATION
Regulation Number:
21 CFR 886.1570
Classification name:
Ophthalmoscope,
Tomography, Optical Coherence
Medical Specialty
Ophthalmic
Device Class:
II
Classification Panel:
Ophthalmic Device Panel
Product Code:
OBO
## PREDICATE DEVICE
ANTERION (K240924), Heidelberg Engineering GmbH
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
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# INDICATIONS FOR USE
The ANTERION is a non-contact ophthalmic imaging and analysis device for the eye. It is intended for visualization and measurement of the anterior segment and the measurement of the axial length.
The analysis covers:
- Cornea Thickness
- Anterior Segment
○ Anterior chamber width, depth, volume and angle parameters
○ Lens Thickness
- Axial Length
# GENERAL DEVICE DESCRIPTION
The ANTERION is a diagnostic imaging device for the eye. The technology is based on swept-source optical coherence tomography (SS-OCT) technology. The device itself has two basic component groups:
- ANTERION Hardware (Imager/Base) with integrated forehead/ chin rest: The hardware includes imaging hardware (e.g., laser, LEDs, optics, detectors, hardware for spatial encoding) as well as a touch screen.
- ANTERION Software (V.1.5.2) (PC): The ANTERION Software includes the main user interface. The software allows for device control, such as selection of examination(s) and imaging parameter(s). The ANTERION software provides an interface for an external Patient Data Management System.
The ANTERION hardware is separated in three parts: the Base (bottom part), the Imager (top part), and the Head Rest (forehead/chin rest).
For examinations, the patient places his/her head in the forehead/chin rest. The Head Rest is mechanically and electronically connected to the Base and controlled via a joystick. Within its stand, a stepper motor with additional mechanic parts and a controller board are placed, allowing the operator to move the motorized chin rest up or down for optimally positioning the patients' eye. An external fixation light is mounted at the forehead rest.
The Base mainly contains the power supply and PC connection of the device. In the Imager, the components for scanning, signal generation, and signal processing are contained.
The operator directly accesses two software modules, which are named AQM (acquisition module) and VWM (viewing module). The AQM allows selecting between examinations. The VWM shows acquired images, parameters, and reports.
The ANTERION device contains two imaging modalities, a scanning optical coherence tomography (OCT) modality and an infrared (IR) camera. The OCT modality allows for cross-sectional imaging and biometry, while the IR camera allows
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for en-face imaging of a patient's eye.
The ANTERION device provides four separate software functionalities (Apps) to acquire various imaging and measurements of the anterior segment of the eye: (1) the Imaging App, (2) the Cornea App, (3) the Cataract App and (4) the Metrics App. The Cornea App provides tomographic data and measurements for the patient's individual corneal geometry and corneal characteristics. The Cornea App provides tomographic data and parameters, such as corneal curvature and thickness. The Cataract App provides key measurements for cataract surgery planning, such as corneal thickness, anterior chamber depth and axial length. The Metrics App generates OCT images and scan parameters for the anterior chamber such as anterior chamber angle and volume. The four ANTERION Apps are locked/unlocked independently by a license mechanism for each App. The software implementation of these Apps is realized within the AQM and VWM.
The following modification has been applied to the device, subject of this 510(k):
- Addition of the automatic scleral spur detection (separate license in the Metrics App) with automatic measurements of scleral spur-related parameters.
To function as intended, the ANTERION must be connected to an external Patient Data Management System with compatible interface. To date, HEYEX 2 / HEYEX PACS is the only available system with compatible interface.
## COMPARISON OF TECHNOLOGICAL CHARACTERISTICS BETWEEN THE SUBJECT AND THE PREDICATE DEVICE
The subject ANTERION is a device modification to the predicate device ANTERION (K240924). The technological characteristics of the subject ANTERION differ from those of the predicate device, however, the differences do not raise new or different questions of safety or effectiveness. The software of both devices, the subject ANTERION and the predicate ANTERION (K240924), includes all available imaging functions (Imaging App, Cornea App, Cataract App, Metrics App) which are locked/unlocked independently by a license mechanism for each App. The main difference between both devices is a software modification which provides automatic measurements of scleral spur-related parameters. This change, i.e. the automatic scleral spur detection, doesn't change the data acquisition process, the intended use/indications for use or the used imaging technologies (OCT, IR camera) of ANTERION.
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# INDICATIONS FOR USE STATEMENT CHART
| SUBJECT DEVICE ANTERION | PREDICATE DEVICE ANTERION (K240924) | Same, similar or different |
| --- | --- | --- |
| The ANTERION is a non-contact ophthalmic imaging and analysis device for the eye. It is intended for visualization and measurement of the anterior segment and the measurement of the axial length. The analysis covers: • Cornea thickness • Anterior segment ○ Anterior chamber width, depth, volume, and angle parameters ○ Lens thickness • Axial Length | The ANTERION is a non-contact ophthalmic imaging and analysis device for the eye. It is intended for visualization and measurement of the anterior segment and the measurement of the axial length. The analysis covers: • Cornea thickness • Anterior segment ○ Anterior chamber width, depth, volume, and angle parameters ○ Lens thickness • Axial Length | Same |
# TECHNOLOGICAL CHARACTERISTICS COMPARISON CHART
(Differences are highlighted in grey)
| | SUBJECT DEVICE ANTERION | PREDICATE DEVICE ANTERION (K240924) | Same, similar or different |
| --- | --- | --- | --- |
| Main Technology | Swept Source OCT Technology | Swept Source OCT Technology | Same |
| Supporting Technologies | Infrared Camera | Infrared Camera | Same |
| OCT center wave length | 1310 nm | 1310 nm | Same |
| OCT axial resolution | <10 μm (tissue) | <10 μm (tissue) | Same |
| OCT lateral resolution | 30 μm, 45 μm | 30 μm, 45 μm | Same |
| Scan length | 5 – 16.5 mm | 5 – 16.5 mm | Same |
| Number of A-Scans per B-Scan | 256; 512; 768; 1024 | 256; 512; 768; 1024 | Same |
| A-scan rate | 50,000 Hz | 50,000 Hz | Same |
| Number of B- Scans | 1-65 | 1-65 | Same |
| Scan Pattern | Line, Volume, Arc, Radial | Line, Volume, Arc, Radial | Same |
| Scan Center | Adjustable | Adjustable | Same |
| Tracking | Available | Available | Same |
| Number of averaged Scans | 1; 2; 4; 8 | 1; 2; 4; 8 | Same |
| IR camera image size (px) | 768 x 576 | 768 x 576 | Same |
| Software Functions | • Imaging App • Cornea App • Cataract App • Metrics App | • Imaging App • Cornea App • Cataract App • Metrics App | Same |
| Main Parameters of Cornea App | Cornea App: • Cornea Curvature • Cornea Thickness - Epithelial Thickness - Stromal Thickness | Cornea App: • Cornea Curvature • Cornea Thickness - Epithelial Thickness - Stromal Thickness | Same |
| Scleral Spur Detection (Metrics App) | Manual scleral spur annotation | Automatic scleral spur detection | Similar: Output of both methods is similar, manual adjustment of automatically detected scleral spur is possible. |
| Scan types for corneal thickness parameters | 65 B-Scans (Cornea App) | 65 B-Scans (Cornea App) | Same |
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| | SUBJECT DEVICE ANTERION | PREDICATE DEVICE ANTERION (K240924) | Same, similar or different |
| --- | --- | --- | --- |
| Dilation of pupil required? | No | No | Same |
| Eye contact required? | No | No | Same |
| Fixation light | Internal, external | Internal, external | Same |
| Working position | Upright sitting position of the patient, using chin rest | Upright sitting position of the patient, using chin rest | Same |
| User Interface | Joystick for user to move and align device, device has GUI (Graphical user interface) for display and analysis of data | Joystick for user to move and align device, device has GUI (Graphical user interface) for display and analysis of data | Same |
## NON-CLINICAL PERFORMANCE TESTING
Software documentation was provided, and software verification and validation was conducted as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices."
Documentation regarding cybersecurity was submitted as recommended by FDA's Guidance for Industry and FDA Staff, "Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions" and an overall risk assessment regarding security and safety of the device was conducted due to ISO 14971:2019.
Tests for electrical safety (IEC 60601-1:2020) and electromagnetic compatibility (IEC 60601-1-2:2020 and IEC TR 60601-4-2: 2016) were performed with ANTERION and passed the relevant requirements of the applied standards.
Laser safety testing for the light sources used in ANTERION was previously submitted and showed that the requirements according to FDA recognized standards IEC-60825-1:2007 and ANSI Z80.36:2016 were fulfilled. The test results are still valid for the subject ANTERION.
Biocompatibility of the device was previously demonstrated by cytotoxicity testing, skin sensitization testing and chemical analysis according to ISO 10993-5:2009, ISO 10993-10:2021 and ISO 10993-18:2005, respectively, and supported by biocompatibility assessment according to 10993-1:2018. The test results remain valid for the subject ANTERION.
## CLINICAL EVIDENCE
The B-2023-1 study was a prospective image grading study using retrospective subject examination data collected and acceptable ANTERION scans acquired at one clinical site in the United States (collected previously in the B-2018-3 study, which was submitted and cleared in K230897) to assess the precision and agreement of scleral spur-related measurements obtained with the Heidelberg Engineering ANTERION Metrics App.
ANTERION Metrics App scans from B-2018-3 were sent to an independent reading center. For the agreement analysis, three graders from the reading center each were instructed to manually annotate visible scleral spur(s) for each of the six B-scans on
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the first acceptable ANTERION scan. For the precision analysis, on all acceptable ANTERION scans, automatic scleral spur detection (ASSD) was activated and reviewed by the reading center.
Repeatability and reproducibility of measurements was estimated using a two-way, random-effects analysis of variance (ANOVA) model. Agreement was characterized using Bland-Altman and Deming regression analyses.
The analysis population of this study included 51 subjects: twenty-five (25) in the Open Angle Eye population and twenty-six (26) in the Narrow Angle Eye population.
The following quantitative parameters were evaluated:
- Spur-to-Spur Distance [mm] (STS)
- Scleral Spur Angle 500 [°] (SSA500) (both sides)
- Angle Opening Distance 500 [mm] (AOD500) (both sides)
- Trabecular Iris Space Area 500 [mm²] (TISA500) (both sides)
- Lens Vault [mm] (LV)
Summary figures of the ASSD precision results (Figure 1) and agreement results (Figure 2 and Figure 3) are presented below and focus on the three B-scans oriented in the horizontal directions (i.e. Temporal to Nasal and the B-scans on either side of horizontal).
The precision analysis showed that the measurement repeatability and reproducibility SDs between eyes with Open Angles versus Narrow Angles were similar for all parameters. The results were similar for precision of measurements obtained from all scleral spurs placed by ASSD versus when evaluating measurements obtained from only those spur placements deemed acceptable by the reading center.
Based on the limits of agreement analysis, the 95%CI of LoA for all parameters included zero in both Open Angle and Narrow Angle Eye Populations. The 95%CI of the mean difference for all parameters and locations in the eyes with Narrow Angle included 0, and in the Open Angle eyes, included 0 with some exceptions, where they are nevertheless close to 0. In the Deming regression analyses for both populations, the majority of 95% CIs of intercept contain 0 and 95% CIs of slope contain 1, with some exceptions where the intercepts are nevertheless close to 0 and slopes are close to 1.
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Figure 1 Summary of Repeatability CV% and Reproducibility CV% of Measurements Based on Scans with Automatic Scleral Spur Detection Placed (ASSD-Placed), Precision Analysis Population
Page 1 of 2
| Parameter | # of | # of | Repeatability | Reproducibility |
| --- | --- | --- | --- | --- |
| Location | Eyes | Scans | CV% (SD/Intercept) | CV% (SD/Intercept) |
SSA, *
Open Angle Eye
| NSN | 23 | 167 | 4.92% (2.166/44.043) | 6.30% (2.773/44.043) |
| --- | --- | --- | --- | --- |
| N | 25 | 221 | 3.85% (1.790/46.530) | 6.19% (2.881/46.530) |
| NIN | 25 | 217 | 4.82% (2.183/45.273) | 5.93% (2.685/45.273) |
| TIT | 25 | 221 | 4.96% (2.336/47.101) | 6.68% (3.146/47.101) |
| T | 25 | 223 | 4.65% (2.215/47.630) | 7.22% (3.438/47.630) |
| TST | 21 | 159 | 5.50% (2.471/44.966) | 6.43% (2.891/44.966) |
Narrow Angle Eye
| NSN | 23 | 170 | 11.91% (1.895/15.911) | 15.48% (2.463/15.911) |
| --- | --- | --- | --- | --- |
| N | 26 | 234 | 12.07% (2.171/17.983) | 14.11% (2.537/17.983) |
| NIN | 26 | 222 | 13.09% (2.300/17.564) | 15.42% (2.708/17.564) |
| TIT | 26 | 212 | 14.53% (2.461/16.941) | 16.59% (2.810/16.941) |
| T | 26 | 231 | 15.32% (2.471/16.134) | 17.37% (2.802/16.134) |
| TST | 23 | 143 | 18.17% (2.474/13.615) | 25.94% (3.532/13.615) |
AOD, mm
Open Angle Eye
| NSN | 23 | 167 | 6.50% (0.034/0.522) | 9.54% (0.050/0.522) |
| --- | --- | --- | --- | --- |
| N | 25 | 221 | 6.28% (0.036/0.573) | 9.61% (0.055/0.573) |
| NIN | 25 | 217 | 6.50% (0.035/0.533) | 8.93% (0.048/0.533) |
| TIT | 25 | 221 | 9.23% (0.053/0.573) | 11.49% (0.066/0.573) |
| T | 25 | 223 | 7.08% (0.042/0.597) | 11.32% (0.068/0.597) |
| TST | 21 | 159 | 9.14% (0.050/0.547) | 12.15% (0.066/0.547) |
Narrow Angle Eye
| NSN | 23 | 170 | 12.51% (0.018/0.144) | 16.19% (0.023/0.144) |
| --- | --- | --- | --- | --- |
| N | 26 | 234 | 13.01% (0.022/0.166) | 15.24% (0.025/0.166) |
| NIN | 26 | 222 | 13.60% (0.022/0.162) | 15.99% (0.026/0.162) |
| TIT | 26 | 212 | 15.49% (0.024/0.154) | 17.32% (0.027/0.154) |
| T | 26 | 231 | 15.59% (0.023/0.147) | 17.75% (0.026/0.147) |
| TST | 23 | 143 | 18.53% (0.023/0.122) | 27.32% (0.033/0.122) |

Repeatability and Reproducibility are estimated (REML) from a two-way random-effect ANOVA model of mean (intercept) + operator/device (C) + eye (S) + interaction between operator/device and eye (I) + error (E).
Repeatability SD = Square root of the E variance. Reproducibility SD = Square root of the sum of the variances of C, I, and E.
SSA = Scleral Spur Angle, AOD = Angle Opening Distance, TISA = Trabecular-Iris Space Area
STS = Spur-to-Spur Distance, LV = Lens Vault
Location: S = Superior, N = Nasal, I = Inferior, T = Temporal
A configuration is defined as a pairing of operator and device.
Repeatability CV% = (Repeatability SD)/Intercept × 100%.
Reproducibility CV% = (Reproducibility SD)/Intercept × 100%.
Different N occurred between the various scleral spur locations or parameters if the scleral spur cannot be detected by the ASSD.
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Figure 1 Summary of Repeatability CV% and Reproducibility CV% of Measurements Based on Scans with Automatic Scleral Spur Detection Placed (ASSD-Placed), Precision Analysis Population
Page 2 of 2
| Parameter | # of | # of | Repeatability | Reproducibility |
| --- | --- | --- | --- | --- |
| Location | Eyes | Scans | CV% (SD/Intercept) | CV% (SD/Intercept) |
TISA, mm²
| Open Angle Eye | | | | |
| --- | --- | --- | --- | --- |
| NSN | 23 | 161 | 7.72% (0.014/0.177) | 11.02% (0.020/0.177) |
| N | 25 | 209 | 6.95% (0.014/0.200) | 10.25% (0.020/0.200) |
| NIN | 25 | 201 | 8.01% (0.014/0.175) | 9.26% (0.016/0.175) |
| TIT | 25 | 216 | 9.43% (0.018/0.187) | 11.71% (0.022/0.187) |
| T | 25 | 220 | 8.06% (0.017/0.208) | 11.82% (0.025/0.208) |
| TST | 21 | 159 | 8.84% (0.016/0.186) | 11.60% (0.022/0.186) |
| Narrow Angle Eye | | | | |
| NSN | 23 | 170 | 13.86% (0.007/0.048) | 16.88% (0.008/0.048) |
| N | 26 | 227 | 13.05% (0.007/0.056) | 15.67% (0.009/0.056) |
| NIN | 26 | 216 | 15.48% (0.008/0.054) | 17.22% (0.009/0.054) |
| TIT | 26 | 206 | 17.95% (0.010/0.056) | 21.39% (0.012/0.056) |
| T | 26 | 215 | 15.42% (0.008/0.054) | 19.42% (0.011/0.054) |
| TST | 23 | 128 | 23.58% (0.010/0.042) | 32.59% (0.014/0.042) |
| STS, mm | | | | |
| Open Angle Eye | | | | |
| NSN to TIT | 23 | 163 | 0.31% (0.038/11.961) | 0.36% (0.044/11.961) |
| N to T | 25 | 219 | 0.23% (0.027/11.936) | 0.29% (0.034/11.936) |
| NIN to TST | 21 | 151 | 0.30% (0.036/11.912) | 0.39% (0.046/11.912) |
| Narrow Angle Eye | | | | |
| NSN to TIT | 23 | 153 | 0.36% (0.043/11.899) | 0.49% (0.059/11.899) |
| N to T | 26 | 231 | 0.31% (0.036/11.896) | 0.37% (0.044/11.896) |
| NIN to TST | 23 | 139 | 0.39% (0.046/11.922) | 0.47% (0.056/11.922) |
| LV, mm | | | | |
| Open Angle Eye | | | | |
| NSN to TIT | 23 | 163 | 22.78% (0.017/0.073) | 36.61% (0.027/0.073) |
| N to T | 25 | 219 | 27.91% (0.016/0.056) | 39.74% (0.022/0.056) |
| NIN to TST | 21 | 151 | 23.91% (0.021/0.088) | 31.85% (0.028/0.088) |
| Narrow Angle Eye | | | | |
| NSN to TIT | 23 | 153 | 2.31% (0.018/0.767) | 3.49% (0.027/0.767) |
| N to T | 25 | 222 | 2.18% (0.016/0.745) | 2.91% (0.022/0.745) |
| NIN to TST | 23 | 139 | 2.87% (0.022/0.755) | 3.40% (0.026/0.755) |

Repeatability and Reproducibility are estimated (REML) from a two-way random-effect ANOVA model of mean (intercept) + operator/device (C) + eye (S) + interaction between operator/device and eye (I) + error (E).
Repeatability SD = Square root of the E variance. Reproducibility SD = Square root of the sum of the variances of C, I, and E.
SSA = Scleral Spur Angle, AOD = Angle Opening Distance, TISA = Trabecular-Iris Space Area
STS = Spur-to-Spur Distance, LV = Lens Vault
Location: S = Superior, N = Nasal, I = Inferior, T = Temporal
A configuration is defined as a pairing of operator and device.
Repeatability CV% = (Repeatability SD)/Intercept × 100%.
Reproducibility CV% = (Reproducibility SD)/Intercept × 100%.
Different N occurred between the various scleral spur locations or parameters if the scleral spur cannot be detected by the ASSD.
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
Page 8 of 13
{12}
Figure 2 Summary of Limit of Agreement for Measurements Between Automatic Scleral Spur Detection (ASSD-Placed) and Manual Scleral Spur Annotation (Majority MSSA-Placed), Agreement Analysis Population
Page 1 of 2
| Parameter Location | N | Limit of Agreement (LoA) | 95% CI of Lower Limit of LoA | 95% CI of Upper Limit of LoA |
| --- | --- | --- | --- | --- |
| SSA, * | | | | |
| Open Angle Eye | | | | |
| NSN | 19 | (-3.65, 8.60) | (-6.21, -1.09) | (6.04, 11.15) |
| N | 25 | (-4.35, 6.35) | (-6.27, -2.44) | (4.44, 8.27) |
| NIN | 24 | (-4.09, 7.34) | (-6.18, -2.00) | (5.25, 9.43) |
| TIT | 25 | (-4.09, 6.65) | (-6.01, -2.17) | (4.73, 8.57) |
| T | 25 | (-5.95, 6.11) | (-8.10, -3.79) | (3.95, 8.26) |
| TST | 19 | (-5.85, 9.01) | (-8.96, -2.75) | (5.91, 12.11) |
| Narrow Angle Eye | | | | |
| NSN | 16 | (-7.05, 6.67) | (-10.21, -3.88) | (3.51, 9.84) |
| N | 26 | (-3.18, 4.41) | (-4.51, -1.85) | (3.08, 5.74) |
| NIN | 26 | (-6.31, 7.08) | (-8.65, -3.97) | (4.74, 9.42) |
| TIT | 24 | (-6.70, 6.04) | (-9.03, -4.37) | (3.71, 8.37) |
| T | 26 | (-7.60, 6.76) | (-10.12, -5.09) | (4.25, 9.27) |
| TST | 16 | (-3.05, 4.80) | (-4.86, -1.24) | (2.99, 6.61) |

AOD, mm
| Open Angle Eye | | | | |
| --- | --- | --- | --- | --- |
| NSN | 19 | (-0.08, 0.15) | (-0.12, -0.03) | (0.10, 0.20) |
| N | 25 | (-0.06, 0.08) | (-0.08, -0.03) | (0.06, 0.11) |
| NIN | 24 | (-0.06, 0.10) | (-0.09, -0.03) | (0.07, 0.13) |
| TIT | 25 | (-0.08, 0.09) | (-0.11, -0.05) | (0.06, 0.12) |
| T | 25 | (-0.13, 0.11) | (-0.18, -0.09) | (0.07, 0.16) |
| TST | 19 | (-0.09, 0.12) | (-0.14, -0.05) | (0.07, 0.16) |
| Narrow Angle Eye | | | | |
| NSN | 16 | (-0.08, 0.07) | (-0.12, -0.05) | (0.04, 0.11) |
| N | 26 | (-0.03, 0.04) | (-0.05, -0.02) | (0.03, 0.06) |
| NIN | 26 | (-0.06, 0.06) | (-0.08, -0.04) | (0.04, 0.08) |
| TIT | 24 | (-0.07, 0.06) | (-0.09, -0.05) | (0.03, 0.08) |
| T | 26 | (-0.07, 0.06) | (-0.10, -0.05) | (0.04, 0.09) |
| TST | 16 | (-0.02, 0.04) | (-0.04, -0.01) | (0.02, 0.05) |

SSA = Scleral Spur Angle, AOD = Angle Opening Distance, TISA = Trabecular-Iris Space Area
STS = Spur-to-Spur Distance, LV = Lens Vault
Location: S = Superior, N = Nasal, I = Inferior, T = Temporal
95% LoA = mean difference ± 2 × difference SD, 95% CI of LoA = LoA ± t(0.975, n-1) × Sqrt(n/3) × SD.
N is the number of eyes with measurements from both ASSD and MSSA. There is one eye per subject, and each eye has one pair of measurements (first acceptable pairs). When the sample size is small, the estimates may not be reliable.
Different N occurred between the various scleral spur locations or parameters if the scleral spur cannot be detected by the ASSD or cannot be annotated by the graders.
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
Page 9 of 13
{13}
Figure 2 Summary of Limit of Agreement for Measurements Between Automatic Scleral Spur Detection (ASSD-Placed) and Manual Scleral Spur Annotation (Majority MSSA-Placed), Agreement Analysis Population
Page 2 of 2
| Parameter Location | N | Limit of Agreement (LoA) | 95% CI of Lower Limit of LoA | 95% CI of Upper Limit of LoA |
| --- | --- | --- | --- | --- |
| TISA, mm2 | | | | |
| Open Angle Eye | | | | |
| NSN | 17 | (-0.02, 0.04) | (-0.03, -0.01) | (0.03, 0.05) |
| N | 23 | (-0.03, 0.04) | (-0.04, -0.02) | (0.03, 0.05) |
| NIN | 19 | (-0.02, 0.03) | (-0.03, -0.01) | (0.02, 0.04) |
| TIT | 23 | (-0.03, 0.03) | (-0.04, -0.02) | (0.02, 0.04) |
| T | 24 | (-0.04, 0.03) | (-0.05, -0.03) | (0.02, 0.04) |
| TST | 19 | (-0.03, 0.03) | (-0.04, -0.02) | (0.02, 0.05) |
| Narrow Angle Eye | | | | |
| NSN | 16 | (-0.04, 0.03) | (-0.05, -0.02) | (0.01, 0.04) |
| N | 24 | (-0.01, 0.02) | (-0.02, -0.01) | (0.01, 0.02) |
| NIN | 24 | (-0.02, 0.02) | (-0.03, -0.01) | (0.01, 0.03) |
| TIT | 24 | (-0.03, 0.02) | (-0.04, -0.02) | (0.01, 0.03) |
| T | 25 | (-0.03, 0.02) | (-0.03, -0.02) | (0.01, 0.03) |
| TST | 15 | (-0.01, 0.01) | (-0.02, -0.01) | (0.01, 0.02) |

| STS, mm | | | | |
| --- | --- | --- | --- | --- |
| Open Angle Eye | | | | |
| NSN to TIT | 19 | (-0.15, 0.03) | (-0.18, -0.11) | (-0.01, 0.07) |
| N to T | 25 | (-0.11, 0.09) | (-0.15, -0.08) | (0.05, 0.12) |
| NIN to TST | 18 | (-0.16, 0.08) | (-0.21, -0.11) | (0.03, 0.13) |
| Narrow Angle Eye | | | | |
| NSN to TIT | 15 | (-0.22, 0.14) | (-0.31, -0.13) | (0.05, 0.23) |
| N to T | 26 | (-0.18, 0.14) | (-0.24, -0.13) | (0.08, 0.20) |
| NIN to TST | 16 | (-0.19, 0.12) | (-0.26, -0.12) | (0.05, 0.19) |

| LV, mm | | | | |
| --- | --- | --- | --- | --- |
| Open Angle Eye | | | | |
| NSN to TIT | 19 | (-0.04, 0.03) | (-0.06, -0.03) | (0.01, 0.04) |
| N to T | 25 | (-0.04, 0.04) | (-0.05, -0.02) | (0.03, 0.06) |
| NIN to TST | 18 | (-0.05, 0.04) | (-0.06, -0.03) | (0.02, 0.06) |
| Narrow Angle Eye | | | | |
| NSN to TIT | 15 | (-0.06, 0.05) | (-0.09, -0.04) | (0.03, 0.08) |
| N to T | 25 | (-0.06, 0.06) | (-0.08, -0.04) | (0.04, 0.08) |
| NIN to TST | 16 | (-0.06, 0.05) | (-0.08, -0.03) | (0.03, 0.08) |

SSA = Scleral Spur Angle, AOD = Angle Opening Distance, TISA = Trabecular-Iris Space Area
STS = Spur-to-Spur Distance, LV = Lens Vault
Location: S = Superior, N = Nasal, I = Inferior, T = Temporal
95% LoA = mean difference ± 2 × difference SD, 95% CI of LoA = LoA ± t(0.975, n-1) × Sqrt(n/3) × SD.
N is the number of eyes with measurements from both ASSD and MSSA. There is one eye per subject, and each eye has one pair of measurements (first acceptable pairs). When the sample size is small, the estimates may not be reliable.
Different N occurred between the various scleral spur locations or parameters if the scleral spur cannot be detected by the ASSD or cannot be annotated by the graders.
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
Page 10 of 13
{14}
Figure 3 Summary of Deming Regression for Measurements Between Automatic Scleral Spur Detection (ASSD-Placed) and Manual Scleral Spur Annotation (Majority MSSA-Placed), Agreement Analysis Population
Page 1 of 2

SSA = Scleral Spur Angle, AOD = Angle Opening Distance, TISA = Trabecular-Iris Space Area
STS = Spur-to-Spur Distance, LV = Lens Vault
Location: S = Superior, N = Nasal, I = Inferior, T = Temporal
N is the number of eyes with measurements from both ASSD and MSSA. There is one eye per subject, and each eye has one pair of measurements (first acceptable pairs). When the sample size is small, the estimates may not be reliable.
Different N occurred between the various scleral spur locations or parameters if the scleral spur cannot be detected by the ASSD or cannot be annotated by the graders.
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
Page 11 of 13
{15}
Figure 3 Summary of Deming Regression for Measurements Between Automatic Scleral Spur Detection (ASSD-Placed) and Manual Scleral Spur Annotation (Majority MSSA-Placed), Agreement Analysis Population
Page 2 of 2

SSA = Scleral Spur Angle, AOD = Angle Opening Distance, TISA = Trabecular-Iris Space Area
STS = Spur-to-Spur Distance, LV = Lens Vault
Location: S = Superior, N = Nasal, I = Inferior, T = Temporal
N is the number of eyes with measurements from both ASSD and MSSA. There is one eye per subject, and each eye has one pair of measurements (first acceptable pairs). When the sample size is small, the estimates may not be reliable.
Different N occurred between the various scleral spur locations or parameters if the scleral spur cannot be detected by the ASSD or cannot be annotated by the graders.
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
Page 12 of 13
{16}
# Overall Study Conclusion
This study (B-2023-1) evaluated the precision and agreement of scleral spur related parameters obtained using automatic scleral spur detection (ASSD) in the ANTERION device with the Metrics App, where agreement was compared with manual scleral spur annotation (MSSA) performed by an independent reading center. The results demonstrated agreement between ASSD and MSSA, as well as repeatable and reproducible measurements obtained using ASSD.
Based on the precision and agreement analysis findings, it can be concluded that the ANTERION with ASSD performs similarly to manual scleral spur detection for the evaluated parameters, supporting substantial equivalence for the investigational and legally marketed ANTERION devices. The results support that ASSD with user review and/or adjustment provides a practical and repeatable method to evaluate scleral spur-related parameters.
# CONCLUSION
The subject ANTERION (software version 1.5.2) has the same intended use, indications for use, and fundamental technological characteristics as its legally marketed predicate device (K240924). The software modifications described herein do not raise new or different questions of safety or effectiveness.
Results of the clinical performance testing illustrate that measurements of the scleral spur-related parameters obtained from the modified ANTERION using automatic scleral spur detection are precise, and are similar to the measurements obtained from the legally marketed ANTERION devices using the manual annotation tools. Therefore, the study results support the substantial equivalence of the subject ANTERION and the predicate ANTERION (K240924) in regard to scleral spur-related parameter measurements. The non-clinical and clinical performance testing demonstrate that the device is as safe, as effective, and performs as well as the legally marketed predicate device.
Heidelberg Engineering GmbH
K261019
Traditional 510(k): ANTERION
Page 13 of 13
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the ? button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only Software as a Medical Device, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (Software as a Medical Device), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.