Magnetically Modulated Computational Cytometer for Rare Cell Detection
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Solution Overview
Problem
Current methods for detecting rare cells in bodily fluids, such as cancer cells, are costly, time-consuming, and require large sample volumes, limiting their adoption for early disease diagnosis and treatment.
Innovation Solution
A computational cytometer using magnetically modulated lensless speckle imaging with deep learning algorithms for rapid and sensitive detection of rare cells, employing magnetic particles and a compact on-chip imager to analyze spatio-temporal features of cells, enabling high-throughput and cost-effective identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional rare cell detection methods are used, then detection sensitivity can be achieved, but the cost is high and processing time is long
Solution Approach 1:
The patent applies periodic magnetic field modulation to induce oscillatory motion in magnetic bead-conjugated rare cells. This periodic action creates time-resolved holographic speckle patterns that enable rapid detection and classification, achieving high sensitivity while maintaining high throughput by processing large sample volumes quickly
Solution Approach 2:
The patent replaces conventional mechanical detection methods with optical holographic imaging combined with magnetic modulation. This substitution enables non-contact, rapid detection of rare cells through optical scattering patterns, significantly reducing processing time while maintaining detection sensitivity
2Measurement precision
If conventional rare cell detection methods are used, then detection sensitivity can be achieved, but the cost is high
Solution Approach 1:
The patent employs disposable magnetic beads for cell conjugation and detection, replacing expensive reusable components. The magnetic beads are inexpensive, single-use items that eliminate the need for costly instrument maintenance and calibration, achieving high detection sensitivity at low system cost
Solution Approach 2:
The patent replaces expensive conventional detection instruments with a simplified optical holographic imaging system combined with magnetic modulation. This substitution uses affordable optical components and magnetic field generation, significantly reducing system cost while maintaining detection sensitivity
3Measurement precision
If magnetic bead conjugation is used for rare cell detection, then specific labeling can be achieved, but background noise from non-specific binding increases
Solution Approach 1:
The patent applies periodic magnetic field modulation that induces oscillatory motion only in magnetic bead-conjugated cells. This periodic action creates distinctive time-resolved holographic speckle patterns for labeled cells, while non-specifically bound beads that do not oscillate are computationally filtered out, reducing background noise while maintaining labeling specificity
Solution Approach 2:
The patent uses computational analysis of time-resolved holographic patterns as feedback to distinguish specifically labeled cells from background noise. The system analyzes oscillation characteristics and speckle pattern dynamics, providing feedback that enables accurate differentiation between specific and non-specific binding events
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
The system achieves a limit of detection of 10 cells per mL of whole blood with a low-cost setup, capable of processing large volumes efficiently, and can be scaled for higher throughput by adding parallel imaging channels, improving early disease diagnosis and reducing healthcare costs.
Implementation Method 1
one or more target objects in the sample are bound to a plurality of magnetic particles
Implementation Method 2
an alternating magnetic field is applied to the sample holder containing the sample
Implementation Method 3
an image sensor disposed on a second side of the sample holder, the image sensor configured to capture a plurality diffraction patterns created by one or more objects within the sample volume
Implementation Method 4
magnetically modulated lensless speckle imaging, which specifically labels rare cells of interest using magnetic particles attached to surface markers of interest and generates periodic and well-controlled motion on target cells by alternating an external magnetic field
Data Source
AI summary
A computational cytometer operates using magnetically modulated lensless speckle imaging, which introduces oscillatory motion to magnetic bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three-dimensions (3D). Detection specificity is further enhanced through a deep learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. This compact, cost-effective and high-throughput computational cytometer can be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.