Microfluidic Cell Trapping for Multi-Parameter Fluorescent Imaging
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Solution Overview
Problem
Current high content imaging techniques for cells are limited by the overlap of fluorescence emission spectra, which hinders the identification of co-localized parameters and is often restricted to a single wavelength, making it difficult to accurately measure multiple biochemical parameters and dynamic processes in cells.
Innovation Solution
A microfluidic device system that traps individual cells and uses fluorescent stains with overlapping excitation and emission spectra, allowing for real-time imaging and measurement of temporal and spatial information using a single fluorescent channel, combined with imaging technologies like wide field-of-view lens-free fluorescent imaging and fiber-optic array scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple fluorescent stains with overlapping spectra are used to measure multiple biochemical parameters, then the quantity of measurable parameters increases, but spectral overlap prevents accurate differentiation of co-localized parameters
Solution Approach 1:
The patent transitions from spectral dimension (wavelength-based differentiation) to temporal dimension (time-based differentiation). By sequentially acquiring images at different time points and using temporal deconvolution algorithms, the system can distinguish multiple fluorescent stains with overlapping spectra without requiring spectral resolution, thereby enabling measurement of multiple biochemical parameters simultaneously while maintaining precision
Solution Approach 2:
The system performs preliminary temporal sampling by acquiring a time series of fluorescent images before analysis. This preliminary temporal data collection enables subsequent computational deconvolution to separate overlapping spectral signals, allowing accurate differentiation of multiple parameters that would otherwise be indistinguishable
2Measurement precision
If conventional scanning microscopy is used to achieve high-resolution imaging, then measurement precision is improved, but throughput remains low
Solution Approach 1:
The patent replaces mechanical scanning systems with lens-free imaging technology that uses computational methods to achieve high-resolution images. This substitution eliminates the mechanical scanning bottleneck, enabling simultaneous capture of multiple fields of view and dramatically increasing throughput while maintaining or improving measurement precision through algorithmic enhancement
Solution Approach 2:
The system transitions from spatial scanning (mechanical movement through space) to parallel computational processing (processing multiple spatial locations simultaneously). By capturing images across multiple fields of view in parallel and applying computational deconvolution, the system achieves both high resolution and high throughput without mechanical constraints
3Productivity
If automated high content screening is implemented to increase throughput, then productivity is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical automation systems with a simplified lens-free imaging platform that relies on computational processing. This substitution reduces device complexity by eliminating mechanical scanning components, robotic positioning systems, and associated control mechanisms, while maintaining high throughput through parallel computational analysis of multiple fields of view
Solution Approach 2:
The system creates computational copies and models of cellular structures through lens-free imaging and algorithmic reconstruction. Instead of requiring complex physical systems to manipulate and image each cell individually, the system captures computational representations of multiple cells simultaneously and processes them through software, dramatically reducing hardware complexity while increasing productivity
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 the extraction of spatial and temporal information from multiple intracellular components without spectral overlap, allowing for the analysis of up to 60 independent parameters, improving upon the limitations of existing technologies by enhancing throughput and accuracy in cellular analysis.
Implementation Method 1
The cells may be stained a plurality of times with different fluorescent labels
Data Source
AI summary
A method of monitoring temporal and spatial information of cells includes trapping a plurality of cells within single cell traps contained in a microfluidic device having an inlet, and an outlet. A first fluorescent stain specific to a first target is flowed into the inlet of the device and exposed to the trapped cells. The trapped cells are then imaged as a function of time. A fluorescent stain specific to a different target is flowed into the inlet of the device, the subsequent fluorescent stain having an emission spectrum that substantially overlaps with the emission spectrum of the prior fluorescent stain. The plurality of trapped cells are then imaged again as a function of time. The process can be repeated with additional fluorescent stains having substantially overlapping emission spectra. Images may be subtracted to reveal the contribution of a single fluorescent stain.