Next-Generation Endoscopic Objective Image Analysis System

Publication ID: 24-11857151_0010_PTD

Published: November 07, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Endoscopic Objective Image Analysis System,” Published Technical Disclosure No. 24-11857151_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857151_0010_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. 11,857,151.

Summary of the Inventive Concept

A cutting-edge endoscopic objective image analysis system that leverages machine learning, augmented reality, and cloud computing to revolutionize the evaluation and maintenance of endoscope objectives.

Background and Problem Solved

The original patent, 'Systems and methods for standalone endoscopic objective image analysis,' provided a foundational approach to evaluating endoscope objectives. However, this approach is limited by its reliance on manual evaluation and static image analysis. The new inventive concept addresses these limitations by introducing advanced technologies that enable real-time, adaptive, and data-driven evaluation of endoscope objectives.

Detailed Description of the Inventive Concept

The next-generation endoscopic objective image analysis system comprises a neural network-based image processing module, an augmented reality display, and a cloud-based platform. The neural network module learns and adapts to various objective lens configurations, enabling accurate and efficient image analysis. The augmented reality display provides real-time visualization of objective performance metrics, facilitating intuitive and data-driven decision-making. The cloud-based platform enables distributed computing, machine learning-based image processing, and remote analysis of endoscope objectives, thereby streamlining maintenance and repair processes.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in endoscopic objective image analysis by integrating machine learning, augmented reality, and cloud computing. The neural network-based image processing module, augmented reality display, and cloud-based platform collectively provide a novel and non-obvious solution that surpasses the capabilities of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include wearable devices for real-time objective performance monitoring, hybrid optical-digital endoscope systems with dynamically adjustable objective lenses, or standalone endoscopic objective image analysis systems with machine learning-based image segmentation. These variations ensure broad conceptual coverage and adaptability to diverse endoscopic applications.

Potential Commercial Applications and Market

The next-generation endoscopic objective image analysis system has significant commercial potential in the medical device industry, particularly in the fields of endoscopy, gastroenterology, and surgical robotics. The system's ability to optimize image quality, reduce maintenance costs, and improve patient outcomes will drive adoption and generate revenue in a market projected to reach $10 billion by 2025.

CPC Classifications

Section	Class	Group
A	A61	A61B1/00009
A	A61	A61B1/04
G	G06	G06T5/003
G	G06	G06T5/006
G	G06	G06T7/0012
H	H04	H04N23/67
G	G06	G06T5/005
G	G06	G06T7/174
G	G06	G06T2207/10068
G	G06	G06T2207/20221
G	G06	G06T2207/30168
H	H04	H04N23/6845
H	H04	H04N23/951

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical imaging systems, specifically endoscopic image analysis technologies involving optical systems, image processing, and diagnostic instrumentation with expertise in machine learning, computer vision, and medical device engineering

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, optics, or computer science, possessing knowledge of medical imaging technologies, neural network architectures, and endoscopic diagnostic methodologies

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, augmented reality, and cloud computing into the existing endoscopic objective image analysis framework represents a predictable technological evolution. The source patent establishes a foundational method for evaluating endoscope objectives, which naturally invites computational enhancement and intelligent analysis techniques. The proposed variations leverage standard machine learning and distributed computing paradigms to extend the original patent's core diagnostic approach.

Obvious Combinations & Variations

Source Patent Element

Image capture system configured to capture intermediate images of a formed image from an objective

PTD Variation

Neural network-based image processing module trained to learn and adapt to various objective lens configurations

Obviousness Reasoning

Applying machine learning to image analysis is a known technique for enhancing diagnostic capabilities, representing an obvious improvement to existing image capture methodologies

Source Patent Element

Identifying in-focus portions using spatial frequencies and edge detection algorithms

PTD Variation

Machine learning-based image segmentation for classifying in-focus regions using labeled training datasets

Obviousness Reasoning

Transitioning from traditional edge detection to machine learning segmentation represents a predictable technological progression using standard computer vision techniques

Source Patent Element

Movable camera along optical axis for image evaluation

PTD Variation

Dynamically adjustable objective lens with complementary CMOS image sensor for real-time image quality optimization

Obviousness Reasoning

Implementing adaptive optical systems with integrated sensing is a foreseeable design optimization within the field of medical imaging technologies

Source Patent Element

Standalone system for evaluating endoscope objectives

PTD Variation

Cloud-based distributed computing platform for analyzing objective performance metrics across multiple devices

Obviousness Reasoning

Extending localized diagnostic capabilities to networked, cloud-based architectures represents a standard technological evolution in medical instrumentation

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed herein would have been obvious to a person of ordinary skill in the art at the time of invention, as they represent predictable technological extensions of US Patent 11857151's foundational endoscopic objective analysis methodology. The proposed innovations constitute routine engineering adaptations employing standard machine learning, augmented reality, and distributed computing techniques to enhance existing diagnostic imaging approaches.

Original Patent Information

Patent Number	US 11,857,151
Title	Systems and methods for standalone endoscopic objective image analysis
Assignee(s)	STERIS Instrument Management Services, Inc.