Fluorophore-Enhanced Object Observation System with AI, IoT, and Advanced Materials
Legal Citation
Summary of the Inventive Concept
A novel system integrating AI, IoT, and advanced materials to enhance the observation of objects containing fluorophores, providing real-time insights and improving medical diagnosis and treatment.
Background and Problem Solved
The original patent's method and device for observing objects containing fluorophores have limitations in terms of data analysis, real-time feedback, and integration with other technologies. The new inventive concept addresses these limitations by incorporating AI, IoT, and advanced materials to create a more powerful and efficient system.
Detailed Description of the Inventive Concept
The system comprises an AI-powered image processor that analyzes the object's interaction with the fluorophore over time, an IoT-enabled communication module for transmitting analysis results to a remote server, and a hyperspectral camera with a new material-based filter for capturing the object's fluorescence emission. The system also includes a blockchain-secured database of fluorophore properties, a machine learning algorithm for identifying patterns in the object's fluorescence emission, and an AI-powered predictive model for forecasting the fluorophore's spread across the object.
Novelty and Inventive Step
The new claims introduce the integration of AI, IoT, blockchain, and advanced materials, which are not present in the original patent. The inventive step lies in the synergistic combination of these distinct technologies to create a more powerful and efficient system for observing objects containing fluorophores.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different AI algorithms, IoT protocols, or advanced materials. Variations may involve the integration of additional sensors or data sources, such as EEG or MRI data, to provide a more comprehensive view of the object's behavior.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the medical industry, particularly in neurosurgery and cancer diagnosis. The system's ability to provide real-time insights and improve medical diagnosis and treatment makes it an attractive solution for hospitals and research institutions.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B1/043 |
| A | A61 | A61B1/00004 |
| G | G06 | G06T7/0016 |
| G | G06 | G06T11/001 |
| A | A61 | A61B2017/00066 |
| G | G06 | G06T2207/10016 |
| G | G06 | G06T2207/10064 |
| G | G06 | G06T2207/30101 |
| G | G06 | G06T2207/30104 |
| G | G06 | G06T2210/41 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging and diagnostic technologies, specifically fluorescence-based object observation systems, involving image processing, signal analysis, and medical device technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in biomedical engineering, medical imaging, signal processing, computer vision, and advanced sensor technologies, holding advanced degrees in engineering or medical sciences with working knowledge of AI and machine learning techniques
Obviousness Rationale
A PHOSITA would recognize that integrating contemporary technologies like AI, IoT, and advanced materials into the existing fluorophore observation method represents a predictable technological evolution. The source patent's foundational image processing methodology provides a clear technical framework that naturally invites enhancement through emerging digital technologies. The PTD's variations represent incremental improvements that leverage known computational and sensing techniques to extend the original patent's core diagnostic capabilities.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,164 |
|---|---|
| Title | Method, image processor and device for observing an object containing a bolus of a fluorophore |
| Assignee(s) | Leica Instruments (Singapore) Pte Ltd. |