Rapid Antibiotic Susceptibility Testing via Single-Cell Motion Tracking
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Solution Overview
Problem
Current antibiotic susceptibility testing (AST) technologies are slow, typically taking 1-3 days due to bacterial culturing, leading to delayed antibiotic treatment and the acceleration of bacterial antibiotic resistance, as they often require broad-spectrum antibiotics rather than rapid, effective narrow-spectrum treatments.
Innovation Solution
A method for rapid AST by tracking sub-micron scale motion of single bacterial cells using a multi-well glass slide setup where bacterial cells are tethered and imaged, allowing for the measurement of sub-μm motion changes in response to different antibiotic doses, enabling the generation of an antibiotic dose curve that indicates antibiotic effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bacterial culturing is used for AST, then measurement reliability is improved, but testing time increases to 1-3 days
Solution Approach 1:
The patent extracts the bacterial cells from the culturing process and directly attaches them to a surface for imaging. By taking out the time-consuming culturing step and working directly with intact bacterial cells, the method achieves rapid AST (within 2 hours) while maintaining measurement reliability through continuous monitoring of cell motion responses to antibiotics.
Solution Approach 2:
The patent performs preliminary attachment of bacterial cells to the surface before antibiotic exposure. This preliminary action allows the cells to be positioned and stabilized for imaging, enabling immediate response measurement upon antibiotic addition without requiring prior culturing, thus reducing testing time while ensuring reliable measurements.
2Adaptability or versatility
If broad-spectrum antibiotics are prescribed, then treatment coverage is improved, but antibiotic resistance accelerates
Solution Approach 1:
The patent implements real-time feedback by continuously monitoring bacterial cell motion responses to different antibiotic concentrations. This feedback mechanism allows identification of the minimum effective antibiotic dose that inhibits bacterial motion, enabling prescription of narrow-spectrum antibiotics at precise doses rather than broad-spectrum antibiotics, thus reducing antibiotic resistance while maintaining treatment effectiveness.
Solution Approach 2:
The patent changes the measurement parameter from traditional growth-based metrics to sub-micron motion tracking of individual bacterial cells. This parameter change enables detection of antibiotic effects at very low concentrations and short time scales, allowing identification of effective narrow-spectrum antibiotic treatments without requiring broad-spectrum coverage, thereby reducing antibiotic resistance pressure.
3Measurement precision
If sub-micron motion tracking is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary attachment layer that bonds bacterial cells to the surface. This intermediary layer allows cells to be firmly positioned for high-precision sub-micron motion tracking while simplifying the overall system by avoiding complex clamping or fixation mechanisms. The attachment layer mediates between the bacterial cells and the imaging system, enabling precise measurement without excessive device complexity.
Data Source
AI summary
A method for rapid antibiotic susceptibility testing by tracking sub-micron scale motion of single bacterial cells including obtaining a biological sample from a subject including live bacteria. Different doses of antibiotic are added to a multi-well glass slide and adding portions of the biological sample to the wells. Bacterial cells are tethered onto the surface. The tethered bacterial cells are imaged and tracked. Bacterial sub-micron motion of tethered cells is measured at the different doses. A processor performs statistical analysis on a population of cells for each antibiotic dose to generate an antibiotic dose curve proportional to the motion changes, where the antibiotic dose curve plots data including a decrease in movement over time indicating a proportional effectiveness of an antibiotic applied to a well.


