Synergistic Retinal Camera Systems with Movable Optical Stops and Advanced Technologies

Publication ID: 24-11857260_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Retinal Camera Systems with Movable Optical Stops and Advanced Technologies,” Published Technical Disclosure No. 24-11857260_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857260_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,260.

Summary of the Inventive Concept

The inventive concept integrates movable optical stops with AI, IoT, blockchain, and new materials to create advanced retinal camera systems, enhancing image quality, security, and personalized analysis.

Background and Problem Solved

The original patent's retinal cameras with movable optical stops have limitations in terms of image quality, security, and adaptability. The new inventive concept addresses these limitations by combining the movable optical stops with advanced technologies to create a more powerful and versatile system.

Detailed Description of the Inventive Concept

The synergistic retinal camera system comprises a movable optical stop, an AI-powered eye tracker, and a blockchain-based data storage module. The system adjusts the optical stop in real-time based on eye movement, ensuring optimal image capture. The blockchain module securely stores and manages retinal images. Alternative embodiments include integrating the movable optical stop with IoT-enabled sensor networks, machine learning algorithms, and new material-based optical components to enhance image resolution and adapt to environmental conditions.

Novelty and Inventive Step

The new claims introduce a synergistic combination of movable optical stops with AI, IoT, blockchain, and new materials, which is not obvious from the original patent. The inventive step lies in the integration of these distinct technologies to create a more powerful and versatile retinal camera system.

Alternative Embodiments and Variations

Other embodiments could include using different types of AI algorithms, such as deep learning or computer vision, to optimize image quality. The IoT-enabled sensor network could be replaced with other environmental monitoring systems. The blockchain-based data storage module could be substituted with other secure data storage solutions.

Potential Commercial Applications and Market

The synergistic retinal camera system has significant commercial potential in the healthcare and medical imaging industries, particularly in ophthalmology and optometry. The system's enhanced image quality, security, and personalized analysis capabilities make it an attractive solution for medical professionals and researchers.

CPC Classifications

SectionClassGroup
A A61 A61B3/14
A A61 A61B3/113
A A61 A61B3/12
G G02 G02F1/1334

Field of Art

Medical imaging technologies, specifically ophthalmological diagnostic imaging systems with a focus on retinal camera design and optical instrumentation

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or optical systems designer with expertise in medical imaging, advanced sensor technologies, and ophthalmic diagnostic equipment, holding advanced degrees in biomedical engineering, optics, or related fields

Obviousness Rationale

A PHOSITA would recognize that integrating AI, blockchain, and IoT technologies with existing retinal camera systems represents a predictable technological evolution, leveraging known techniques to enhance existing optical imaging methodologies. The fundamental optical stop mechanism from the source patent provides a clear technological foundation for implementing advanced control and data management strategies. The proposed variations represent incremental improvements using well-established interdisciplinary technologies that would be apparent to a skilled practitioner seeking to optimize medical imaging systems.

Obvious Combinations & Variations

Source Patent Element
Movable optical stop mechanism with servo or stepper motor control
PTD Variation
AI-powered eye tracking to dynamically adjust optical stop positioning
Obviousness Reasoning
Predictable application of machine learning to existing mechanical positioning systems, representing a known technique for adaptive imaging optimization
Source Patent Element
Infrared light source for eye imaging
PTD Variation
IoT-enabled sensor network to monitor and adapt environmental imaging conditions
Obviousness Reasoning
Logical extension of existing sensing technologies to improve imaging system environmental adaptability, using known sensor integration techniques
Source Patent Element
Retinal imaging apparatus with optical components
PTD Variation
Blockchain-based secure data storage and transmission module
Obviousness Reasoning
Standard approach to implementing data security in medical imaging systems using established cryptographic and distributed ledger technologies
Source Patent Element
Optical imaging system with lens and light source
PTD Variation
Advanced material-based optical components to enhance image resolution
Obviousness Reasoning
Routine materials engineering approach to incrementally improving optical system performance using known material science techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857260 and the disclosed technical variations, a person of ordinary skill in the art would find the proposed retinal camera system enhancements obvious and lacking inventive step. The combination of movable optical stops with AI, IoT, blockchain, and advanced materials represents predictable technological integration that does not rise to the level of non-obvious innovation, thereby rendering potential claims in this domain unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,260
TitleRetinal cameras having movable optical stops
Assignee(s)VERILY LIFE SCIENCES LLC