Automated Microscopy System for Rapid Microorganism Identification
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Solution Overview
Problem
Current methods for identifying microorganisms in patient samples are slow and inefficient, often requiring overnight subculturing and lacking rapid antimicrobial susceptibility testing, which delays appropriate therapeutic decisions and contributes to morbidity and mortality in critically ill patients.
Innovation Solution
An automated microscopy system that combines fluorescence in situ hybridization (FISH) with Bayesian statistical analysis and a dynamic dilution algorithm to rapidly identify microorganisms and determine antimicrobial susceptibility directly from clinical specimens, using a reagent cartridge, pipettor assembly, and optical detection system for rapid focus and image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional subculturing methods are used for microorganism identification, then identification accuracy is maintained, but identification time is excessively long (overnight)
Solution Approach 1:
The patent replaces traditional mechanical subculturing methods with fluorescence in situ hybridization (FISH) technology. This substitution enables direct detection of microorganisms in clinical specimens through fluorescent probe binding, eliminating the need for time-consuming subculturing while maintaining identification accuracy. The optical detection system captures fluorescent signals to identify microorganisms within hours rather than overnight.
Solution Approach 2:
The patent changes the detection parameter from indirect growth-based identification to direct fluorescent signal detection. By using FISH probes that bind to specific microbial DNA sequences and detecting them through fluorescence microscopy, the system achieves rapid identification without requiring microbial growth. This parameter change from temporal (overnight) to spatial (direct detection) resolves the time-speed contradiction.
2Productivity
If rapid FISH-based identification is implemented, then identification speed is improved, but antimicrobial susceptibility testing capability is lost
Solution Approach 1:
The patent integrates multiple functional capabilities into a single automated microscopy system. The same FISH-based platform used for rapid identification also performs antimicrobial susceptibility testing by detecting microbial responses to antimicrobial agents. The system can identify microorganisms and simultaneously determine their susceptibility patterns, providing both speed and versatility without compromising either function.
Solution Approach 2:
The patent merges identification and susceptibility testing into a unified workflow. By combining FISH-based rapid identification with susceptibility testing capabilities in the same automated system, the patent eliminates the need for separate testing procedures. This integration allows the system to provide both rapid identification and susceptibility information within the same time frame, resolving the trade-off between speed and versatility.
3Measurement precision
If automated microscopy with FISH is used, then identification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex identification process into distinct functional modules: sample preparation, FISH probe hybridization, fluorescence imaging, and automated analysis. Each module performs a specific function and can be independently optimized or maintained. This segmentation reduces overall system complexity by making the complex process more manageable and modular, while preserving high identification accuracy through specialized optimization of each component.
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
Enables rapid identification of microorganisms and antimicrobial susceptibility testing within hours, reducing the time to appropriate therapeutic decisions and potentially decreasing morbidity and mortality by providing actionable results in a timely manner.
Implementation Method 1
an optical detection system configured to obtain dark field and fluorescence photomicrographs of a microorganism contained in the plurality of microfluidic channels
Implementation Method 2
combines fluorescence in situ hybridization (FISH) with Bayesian statistical analysis
Data Source
AI summary
A system for automated microorganism identification and antibiotic susceptibility testing comprising a reagent cartridge, a reagent stage, a cassette, a cassette, stage, a pipettor assembly, an optical detection system, and a controller is disclosed. The system is designed to dynamically adjust motor idle torque to control heat load and employs a fast focus process for determining the true focus position of an individual microorganism. The system also may quantify the relative abundance of viable microorganisms in a sample using dynamic dilution, and facilitate growth of microorganisms in customized media for rapid, accurate antimicrobial susceptibility testing.