Bacterial Colony Identification via Forward Light Scattering
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Solution Overview
Problem
Current methods for identifying bacterial contaminants, such as Listeria monocytogenes, are time-consuming and require complex sample preparation, struggling to differentiate between live and dead bacteria and closely related species, and often necessitate skilled technicians and expensive molecular tools.
Innovation Solution
A system utilizing forward light scattering with coherent laser light to characterize bacterial colonies, analyzing scattergram patterns through image recognition and feature extraction algorithms like Zernike and Haralick texture features, enabling automated identification and classification of microorganisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional biochemical or molecular testing methods are used for bacterial identification, then reliable identification can be achieved, but the process is time-consuming (24-48 hours) and requires skilled technicians and expensive tools
Solution Approach 1:
The patent replaces complex biochemical and molecular testing procedures with a simplified optical measurement system. A laser illuminates bacterial colonies and captures forward-scattered light patterns, which are then analyzed by image processing algorithms to identify bacterial species. This substitution eliminates the need for lengthy biochemical reactions and molecular analysis while maintaining identification accuracy.
Solution Approach 2:
The invention changes the measurement parameter from biochemical reactions and molecular characteristics to optical scattering properties. By measuring the forward-scattered light patterns of laser illumination through bacterial colonies, the system extracts morphological and structural parameters that uniquely identify different bacterial species, enabling rapid identification without traditional testing protocols.
2Reliability
If nucleic acid or antibody-based methods are used for pathogen detection, then detection sensitivity is improved, but the ability to differentiate live from dead bacteria and specificity of closely related species remains problematic
Solution Approach 1:
The patent focuses on measuring local optical properties of bacterial colonies - specifically the forward-scattered light patterns resulting from laser illumination. These local optical characteristics reflect the internal structure, morphology, and arrangement of bacterial cells within colonies, providing species-specific signatures that enable precise differentiation of closely related species and distinction between live and dead bacteria.
3Measurement precision
If classical culture methods with multiple-step assays are used, then bacterial identification can be performed, but the process requires sophisticated molecular tools and skilled technicians
Solution Approach 1:
The patent extracts and isolates the key identifying characteristic of bacteria - their optical scattering properties - from the complex array of biochemical and molecular tests. By focusing solely on measuring forward-scattered light patterns, the system removes the need for sophisticated molecular tools, multiple reagent steps, and expert technical knowledge, while preserving identification capability.
Solution Approach 2:
The invention creates an optical copy or representation of bacterial colony structure through forward-scattered light patterns. These scattergrams serve as visual fingerprints that capture the essential morphological information needed for identification, replacing the need for physical manipulation and analysis of bacterial samples through complex biochemical procedures.
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
This method allows for rapid, accurate identification of bacterial genotypes and pathogenicity, reducing the need for skilled technicians and expensive tools, while effectively differentiating between closely related species, and can be applied to various organic matter beyond bacteria.
Implementation Method 1
A colony of bacteria or other organisms may be illuminated with coherent light, and the light scattered in the forward direction may be detected and analyzed
Data Source
AI summary
A system and method for identifying organisms by analysis of scattergrams of colonies is disclosed. cattergrams are obtained by culturing samples and illuminating the resultant colonies by a laser. The forward scattered light is imaged and subject to a feature extraction process. The feature vector may include Zernike or Chebyshev moments and may also include Harelick texture features. Feature vectors may be used to train a classification process using either supervised or unsupervised machine learning techniques. The classification process may be used to associate a colony phenotype with the genotype of the sample.