Single-Cell Mechanical Phenotyping in Brillouin Flow Cytometry
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Solution Overview
Problem
Existing methods for probing cellular mechanical properties are invasive, require physical contact, or provide only average measurements, limiting their ability to distinguish cancer cells from non-cancer cells and analyze a large number of cells efficiently.
Innovation Solution
A label-free Brillouin flow cytometry technique that measures mechanical properties of cells through Brillouin light scattering, allowing non-contact, non-invasive, and high-throughput analysis of individual cells using multiplexed scanning modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (micropipette aspiration, AFM, optical tweezer) are used to measure cellular mechanical properties, then measurement precision is achieved, but the methods require physical contact or are invasive
Solution Approach 1:
The patent replaces mechanical contact-based measurement systems (micropipette aspiration, AFM) with an optical-based Brillouin scattering system. The Brillouin flow cytometer uses light scattering to probe cellular mechanical properties without physical contact, substituting mechanical force application with optical field interaction to achieve non-invasive measurement of cellular viscoelasticity
Solution Approach 2:
The patent introduces Brillouin scattering as an intermediary mechanism between the measurement system and the cell. Instead of direct mechanical contact, the system uses acoustic phonons excited by laser light as intermediaries to probe cellular mechanical properties, allowing indirect but accurate measurement of cellular stiffness and viscosity
2Measurement precision
If conventional methods (micropipette aspiration, optical stretcher) are used to measure cellular mechanical properties, then measurement accuracy is achieved, but throughput is very low
Solution Approach 1:
The patent segments the measurement process into parallel independent measurement channels within the flow cytometer. Multiple cells are measured sequentially as they flow through the interrogation region, with each cell receiving the same measurement protocol. This segmentation enables high-throughput parallel processing while maintaining individual cell measurement precision
Solution Approach 2:
The patent transitions from static measurement (where one cell is measured at a time in fixed position) to dynamic measurement (where cells flow continuously through the measurement region). The flow-based dynamic system allows multiple cells to be measured in sequence, dramatically increasing throughput while maintaining measurement accuracy through consistent flow conditions
3Loss of information
If conventional methods are used to analyze cellular mechanics, then detailed mechanical information is obtained, but the methods can only provide average measurement of the whole cell
Solution Approach 1:
The patent applies local quality by measuring mechanical properties at different positions within the cell as it flows through the interrogation region. The system captures spatial variations in cellular viscoelasticity along the cell's path, enabling differentiation between various cellular regions rather than providing only a bulk average measurement
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 differentiation of cancer cells from non-cancer cells based on their mechanical phenotyping, providing accurate and rapid analysis of cellular mechanics with submicron resolution and improved throughput.
Implementation Method 1
This technique relies on the basic principle of Brillouin light scattering, which arises from the interaction of incoming light with acoustic phonons within a sample
Data Source
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AI summary
The present invention relates to a method and system for analyzing mechanical signatures of a plurality of cells for metastatic detection. Specifically, a data set characterized by at least one metric (such as Brillouin frequency shift and/or Brillouin linewidth) representing a cell mechanical signature is acquired for the plurality of cells by using a label-free Brillouin spectroscopy. A merit function is calculated based on one or more statistical characteristics of the data set, such as sensitivity and specificity. Then, the plurality of cells can be classified to detect metastatic cells based on mechanical signatures provided by the data set and an optimal metric value delivering maximum to the merit function.