Cell Detection via Shadow Imaging
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Solution Overview
Problem
Current technologies for monitoring live cells over time are largely reliant on manual intervention, expensive equipment, and are not suitable for miniaturization, making it difficult to automate the detection and tracking of cells, especially in situations where cells remain fixed or move at unknown velocities.
Innovation Solution
A miniature device, CyMap, uses incoherent light sources and charged-coupled device (CCD) arrays to record diffraction patterns from cells, allowing for the detection and tracking of cell movements without the need for image-forming optical components or cell staining, enabling cost-effective, automated monitoring of live cells in a miniaturized format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional microscopy is used to monitor live cells, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the essential detection function from complex microscopy systems by using simple shadow imaging. Instead of capturing detailed optical images, the system only records the shadow patterns cast by cells, eliminating the need for complex lenses, mirrors, and image processing while maintaining sufficient detection capability for cell presence and movement.
Solution Approach 2:
The invention replaces expensive, delicate microscope components with inexpensive, robust alternatives. The shadow imaging approach uses simple light sources and basic sensors that are far cheaper and more durable than conventional microscopy equipment, making the system suitable for portable and automated applications.
2Device complexity
If shadow imaging is used to detect cells, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by optimizing the shadow imaging setup for specific detection needs rather than attempting to capture all cell details. The system uses targeted illumination angles and sensor positioning to enhance the visibility of cell shadows, achieving sufficient precision for monitoring applications without requiring full-resolution imaging.
Solution Approach 2:
The invention changes key imaging parameters such as light wavelength, illumination angle, and distance between cell and sensor to optimize shadow contrast. By adjusting these parameters, the system achieves adequate detection precision for live cell monitoring while maintaining simplicity and avoiding the need for complex microscopy equipment.
3Measurement precision
If manual cell monitoring is performed, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The patent implements self-service by creating an automated shadow imaging system that continuously monitors cells without human intervention. The simple optical setup can be easily integrated with automated sample handling and image analysis software, enabling unattended operation that maintains detection quality while dramatically improving throughput and productivity.
Solution Approach 2:
The invention replaces manual visual inspection with an automated optical detection system. The shadow imaging approach generates clear, objective signals that can be processed by computers, eliminating the need for trained operators to manually examine cells under microscopes and enabling high-throughput automated monitoring.
4Productivity
If automated detection systems are developed, then productivity is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the core detection function from complex automated systems by using shadow imaging. This approach removes unnecessary complexity while maintaining automation capability, as the simple shadow patterns are easily distinguishable and can be processed by basic image analysis algorithms.
Solution Approach 2:
The invention uses inexpensive, simple components that can be easily replaced or upgraded. The shadow imaging system relies on basic light sources and sensors rather than expensive, complex automated microscopy equipment, making automation accessible and cost-effective for various applications.
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 CyMap device provides a cost-effective, automated imaging modality for observing live cells, capable of tracking multiple cells at once, with the ability to monitor cell division, movement, and viability over time, suitable for integration into lab-on-chip devices and other portable applications.
Implementation Method 1
uses incoherent light sources and charged-coupled device (CCD) arrays to record diffraction patterns from cells
Data Source
AI summary
The invention provides a method for detecting objects in samples. The sample is held in the transmission path of light source to a detector, whereby light from the light source interacts with objects in the sample. The patterns of light incident on the detector subsequent to its interaction with the objects are directly used to determine the presence of objects in the sample.