Dark-Field Microscope Assay with Nanoparticle Signal Amplification
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Solution Overview
Problem
Conventional low magnification dark-field microscope-based nanoparticle quantitative assays face challenges such as operation complexity, limited view area, and inhomogeneity bias, which affect sensitivity and signal-to-noise ratio.
Innovation Solution
The implementation of pre-treatment steps like heating and ultrasound, along with a signal amplification scheme using metallic nanoparticles, to enhance the binding affinity and homogenous distribution of biological specimens on the sample plate, improving imaging sensitivity and reducing bias.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high magnification objective lenses are used in dark-field microscope based nanoparticle quantitative assay, then measurement precision is improved, but device complexity and operation time increase due to intensive manual focus adjustment and positioning
Solution Approach 1:
The system performs preliminary automated focus adjustment and positioning of the objective lens before nanoparticle quantification. The motorized stage pre-positions the sample area, and the autofocus system pre-adjusts the focal plane, eliminating the need for manual focus adjustment during the actual quantification process.
Solution Approach 2:
The patent replaces manual mechanical focus adjustment with an automated motorized focus adjustment system. The motorized objective lens or stage movement, controlled by software algorithms, substitutes the operator's manual manipulation, thereby reducing operation time while maintaining quantification precision.
2Measurement precision
If high magnification objective lenses are used, then measurement precision is improved, but the view area is limited making it hard to observe all regions of interest
Solution Approach 1:
The system divides the large sample area into multiple smaller fields of view that can be captured at high magnification. The motorized stage automatically moves to different positions to capture sequential images of different regions, which are then stitched together to form a complete map of the entire sample area with high precision quantification.
Solution Approach 2:
The system transitions from a single two-dimensional view to a three-dimensional exploration space by combining high-magnification images taken at different positions and focal planes. This allows comprehensive coverage of the entire sample area while maintaining high measurement precision in each local region.
3Measurement precision
If manual selection of several views within ROI is performed for averaging, then measurement precision is improved, but operation complexity increases and artificial bias is introduced
Solution Approach 1:
The system performs automated image acquisition and processing without requiring manual selection of views. The software automatically captures images of all relevant regions, applies focus adjustment, and performs quantification calculations, eliminating operator intervention and the associated artificial bias while maintaining precision.
Solution Approach 2:
The system incorporates automated feedback mechanisms where the software continuously evaluates image quality metrics (such as focus sharpness and signal intensity) and automatically adjusts parameters or selects regions for quantification based on predefined criteria, replacing manual judgment with objective algorithmic decision-making.
4Ease of operation
If low power objective lenses are used to increase view area, then ease of operation is improved, but manufacturing precision deteriorates due to condemnations, dents, and scratches disturbing the image
Solution Approach 1:
The system performs preliminary automated identification and masking of defective areas (condemnations, dents, scratches) in the low-magnification image. The software maps the locations of these artifacts before quantification and automatically excludes them from the analysis, allowing the use of low-power lenses for ease of operation while maintaining image quality through computational correction.
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 approach significantly enhances the sensitivity and homogeneity of dark-field assays, reducing assay duration and improving signal amplification, thereby addressing the limitations of conventional systems.
Implementation Method 1
heating the biological specimen using a heating device in an amount sufficient to enhance the binding affinity of the biological specimen to the sample plate
Implementation Method 2
ultrasound energy is applied to the biological specimen using an ultrasound transducer communicatively coupled to an ultrasound generator
Implementation Method 3
doping the biological specimen with one or more metallic nanoparticle to improve signal amplification during generation of the dark-field image
Data Source
AI summary
The present disclosure relates a low magnification dark-field microscope system and method for producing a dark-field image. The method includes transferring a biological specimen to a surface of a sample plate, and pre-treating the biological specimen using one or more pre-treatment steps selected from (1) heating the biological specimen using a heating device; (2) applying ultrasound energy using an ultrasound transducer and ultrasound generator; and (3) doping the biological specimen with a metallic nanoparticle. Following pre-treatment, the method includes imaging a region of interest the biological specimen on the sample plate using a dark-field microscope to generate a dark-field image of the biological specimen.