Cell Analysis via Optical Flow Detection
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Solution Overview
Problem
Current cell analysis methods, such as flow cytometry, deformation cytometry, and Raman spectroscopic cytometry, are expensive, require complex setups, and have limited scalability and specificity, making them unsuitable for high-speed, marker-free analysis of cells, especially in pathological samples and large quantities like blood.
Innovation Solution
A method involving the separation of cells using a microfluidic channel, followed by spatially resolved radiation intensity measurement and calculation of optical flows to analyze cell properties without the need for fluorescent markers, utilizing a processing unit to evaluate the optical flows for cell shape, size, and mechanical properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional flow cytometry or deformation cytometry is used, then cell analysis can be performed, but the equipment is expensive and complex
Solution Approach 1:
The patent replaces complex mechanical imaging systems (microscopes, cameras) with a simplified optical detection system that measures light scattering patterns. Instead of using mechanical image capture and processing, the invention uses optical detectors to measure intensity patterns of light interacting with cells, thereby reducing mechanical complexity while maintaining cell analysis capability
Solution Approach 2:
The patent extracts only the essential measurement function from complex cytometry systems. By isolating the core capability of detecting cell properties through light interaction and eliminating unnecessary imaging components, the invention creates a simplified system that maintains analytical reliability while reducing equipment complexity
2Measurement precision
If fluorescent markers are used to increase specificity, then cell identification improves, but the analysis becomes more complex and costly
Solution Approach 1:
The patent enables cells to serve as their own markers by detecting their inherent optical properties (light scattering patterns, refractive index variations). Instead of requiring external fluorescent markers to identify cell types or states, the system measures natural optical characteristics of the cells themselves, eliminating marker application complexity while maintaining or improving identification specificity
Solution Approach 2:
The patent creates an optical signature or pattern copy of the cell's natural properties rather than relying on external markers. By measuring and analyzing the unique light scattering pattern produced by each cell's inherent characteristics, the system generates a digital representation that identifies cell types and states without requiring physical markers
3Measurement precision
If high-speed camera imaging is used for deformation analysis, then cell shape measurement is possible, but the throughput is limited and costs increase
Solution Approach 1:
The patent replaces high-speed camera imaging systems with optical detection systems that measure light scattering patterns. This substitution eliminates the need for complex image capture and processing machinery, enabling faster measurement speeds and higher throughput while maintaining accurate cell shape and deformation analysis through optical pattern recognition
4Measurement precision
If Raman spectroscopic cytometry is used, then marker-free analysis is possible, but the equipment is expensive and infrastructure requirements are high
Solution Approach 1:
The patent uses simple, inexpensive optical detectors and light sources instead of expensive Raman spectroscopy equipment. By employing readily available optical components and simplifying the detection architecture, the system achieves marker-free cell analysis at a fraction of the cost and infrastructure requirement of Raman spectroscopic systems
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 high-speed, inexpensive, and marker-free analysis of cells with high throughput, allowing for real-time monitoring and sorting, reducing costs and infrastructure requirements, and providing detailed cell property analysis with minimal equipment and expertise.
Implementation Method 1
a time sequence of spatial intensity patterns of an electromagnetic radiation emanating from and/or influenced by the cell is prepared
Implementation Method 2
the optical flow of two respective spatial intensity patterns is calculated for at least a portion of the sequence of intensity patterns
Data Source
AI summary
Disclosed is a method for analysing cells, in which cells are separated and the individual cells pass via a measurement region of a unit for spatially resolved radiation intensity measurement, wherein, for at least one of the separated cells, when passing via the measurement region, a time sequence of spatial intensity patterns of an electromagnetic radiation emitted from and/or influenced by the cell is created, the optical flow of a respective two of the spatial intensity patterns is calculated for at least one portion of the sequence of intensity patterns using a computer unit, and an evaluation of the calculated optical flows occurs. Also disclosed is a device for analysing cells, comprising a device for separating cells, a unit for spatially resolved radiation intensity measurement, and a computer unit for calculating the optical flow of a respective two of the created intensity patterns, and for evaluating the calculated optical flows.