Neuro-Optic Eye Capture Android

Neuro-Optic Eye Capture

Real-time eye detection, Auto-capture with 5 second countdown, Crop 4:3 image.

Features & Capabilities

Main Application

This application was primarily developed for conducting educational research on human eyes applying 4:3 aspect ratio imaging. This app also features optional capability to transmit images for review to Bryan K. Marcia, Ph.D, Professor Emeritus.

Eye Imaging Application

This app offers the availability to eye images and to crop region of interest with the ability to save to your phone image gallery as 4:3 ratio image.

What are the benefits to saving region of interest sections of an image as 4:3 ratio files? It is the standard ratio for most medical imaging and offers several benefits including:

1. Better Visualization: Images captured in a 4:3 ratio often provide a clearer and more accurate representation of anatomical structures or pathological conditions. This can enhance the ability of healthcare professionals to visualize and interpret the images effectively.

2. Standardization: Standardizing medical images to a specific aspect ratio such as 4:3 can facilitate consistency in image interpretation across different healthcare settings and among various medical professionals. This can lead to more reliable diagnoses and treatment decisions.

3. Compatibility: Many medical imaging devices and software systems are optimized to work with images that adhere to standard aspect ratios. By using a 4:3 ratio, medical images can be easily integrated into existing workflows and technology platforms without compatibility issues.

4. Comparative Analysis: Maintaining a consistent aspect ratio for medical images allows for easier comparison of images taken at different times or by different modalities. This is particularly important for tracking disease progression, monitoring treatment efficacy, and detecting subtle changes in patient conditions over time.

5. Education and Training: Medical students, residents, and other healthcare professionals often rely on medical images for education and training purposes. Standardizing the aspect ratio of these images can streamline the learning process and help learners develop their diagnostic skills more effectively.

6. Efficient Storage and Retrieval: Standardized aspect ratios can simplify the storage, retrieval, and management of medical images within electronic health record systems and picture archiving and communication systems (PACS). This can improve workflow efficiency and patient care coordination.

Overall, adopting a 4:3 image ratio can contribute to improved diagnostic accuracy, enhanced workflow efficiency.

Two Permissions Required:

This application requires user permission to take photos.

This application requires user permissions to save images to personal phone image gallery.

App Features Explained: https://cnri.edu/features.pdf

December, 2025 Release notes:

Updated highly scientific pupil/collarette parameter analyzer with report with 10 free scans. Unlock advanced features & unlimited scans with premium subscription ($4.99/mo) or packs ($9.99 for 10 scans).

Free to download. Premium features available via in-app purchase.

Special note:

Please note that this application does not offer any medical diagnosis, medical advice or health recommendations.

User Growth & Download Statistics

App
By:
Clinical Neuro-Optic Research Initiative->cnri.edu
Downloads:
114 6
Version:
1.8 Last updated: 2025-12-09
Version code:
8
Creation date:
2025-10-01
Publisher country:
CA CA
Permissions:
  • android.permission.CAMERA Very high risk
  • android.permission.RECORD_AUDIO Very high risk
  • android.permission.READ_EXTERNAL_STORAGE High risk
  • com.cnri.ai_eye_capture.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION
Size:
48.30MB
Email:
ap*****@cnri.edu
URLs:
Website ,Privacy policy
Full description:
See detailed description
Source:
Google Play Store
Data ingested on:
2026-06-09
Compare stats and ranking:

Contact the developer

Chrome-Stats does not own this Android app. Please use these information below to contact the Android app developer.
Developed by:
Clinical Neuro-Optic Research Initiative->cnri.edu
Google Play Store
https://play.google.com/store/apps/details?id=com.cnri.ai_eye_capture
Email:
ap*****@cnri.edu
Website:
https://cnri.edu

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