Home Culture Test Incubation and Imaging for Bacterial Identification
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Solution Overview
Problem
Current methods for self-administering bacterial culture tests are inefficient and lack the capability for accurate, rapid identification of bacterial infections and appropriate antibiotic recommendations.
Innovation Solution
A self-administering apparatus and system that includes a housing with a compartment for bacterial growth, a heating device, ventilation ports, and smart devices for image recording and analysis, enabling visual monitoring and automated determination of bacterial infections and antibiotic recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional bacterial culture testing methods are used, then the testing process can be performed, but the identification of bacterial infections and antibiotic recommendations is slow and inaccurate
Solution Approach 1:
The patent replaces manual visual inspection and subjective interpretation with automated image analysis using machine learning algorithms. The system captures images of bacterial colonies and uses computer vision to automatically identify bacterial types and predict antibiotic susceptibility, eliminating the time-consuming manual analysis process while improving accuracy and consistency of results.
Solution Approach 2:
The patent creates digital copies (images) of bacterial colonies and uses these copies for analysis instead of requiring direct manual examination of the actual colonies. The image processing system analyzes colony morphology, color, and other visual characteristics from these digital representations, enabling rapid automated identification without physically handling or manipulating the bacterial cultures.
2Productivity
If manual analysis methods are used, then the process is simple, but the capability for accurate and rapid identification is lacking
Solution Approach 1:
The patent integrates multiple functions into a single automated system: the same image capture and analysis platform performs colony counting, bacterial identification, and antibiotic susceptibility prediction. This multi-functional approach increases productivity by consolidating multiple manual tasks into one automated process, while the modular design keeps system complexity manageable through standardized components.
Solution Approach 2:
The system performs self-analysis through automated image processing and machine learning algorithms that independently identify bacterial characteristics and predict antibiotic responses without requiring expert manual interpretation. The automated feedback loop continuously improves identification accuracy, enabling the system to serve itself and eliminate the need for specialized manual analysis while maintaining high productivity.
3Measurement precision
If automated image analysis is implemented, then identification accuracy improves, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary layer of image processing and machine learning algorithms between the bacterial colonies and the final identification result. This intermediary system captures visual data, processes it through trained models, and generates accurate identification results without requiring complex direct manipulation of the bacteria themselves. The intermediary approach simplifies the overall system by using software intelligence rather than complex hardware modifications.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates rapid and accurate identification of bacterial infections and appropriate antibiotic treatments through automated image analysis and monitoring, enhancing the efficiency and accuracy of home-based culture testing.
Implementation Method 1
a heating device, wherein the heating element is attachable to the housing to facilitate providing a predetermined temperature to expedite growth of the bacteria
Implementation Method 2
a carbon dioxide generator configured to generate carbon dioxide thereby expediting culture growth
Implementation Method 3
the medium is coated with a growth medium and a chromogenic substrate
Data Source
AI summary
Disclosed herein is a system for self-administering an infection culture test, the system including a housing having a cover and a compartment for storing a bacterial culture and to facilitate bacterial growth, wherein the compartment includes a pad having a partitioning element attached to a film, wherein the partitioning element separates a dry chromogenic medium into regions, wherein the medium is coated with a growth medium and a chromogenic substrate, and a transparent cover to hermetically seal the compartment, and one or more smart devices configured to record one or more images of the bacteria within the apparatus and provide a determination whether an infection is present and to identify what specific bacteria is present.


