Unfiltered Light Scatter Detector for Flow Cytometry Precision
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Solution Overview
Problem
Current flow cytometry systems face challenges in accurately detecting and analyzing light scattered by samples, particularly in characterizing components and sorting particles due to variations in morphology, absorptivity, and fluorescent labels, which affect data acquisition and particle sorting precision.
Innovation Solution
The implementation of a light detection system with an unfiltered light scatter detector and a processor that generates data signals from scattered light, allowing for the determination and adjustment of data acquisition parameters, such as timing and particle sorting parameters, based on the detected light from multiple lasers, using a combination of unfiltered and filtered light scatter detectors with optical adjustment components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filtered light scatter detectors are used to detect scattered light from samples, then measurement precision is improved by filtering out unwanted light, but device complexity increases due to additional optical components
Solution Approach 1:
The detection system is segmented into multiple independent detectors: an unfiltered light scatter detector for capturing total scattered light intensity and a filtered light scatter detector for capturing specific wavelength components. This segmentation allows each detector to have simplified optical paths while collectively providing comprehensive measurement capability, resolving the contradiction between precision and complexity.
Solution Approach 2:
A beam splitter is introduced as an intermediary optical component to divide the scattered light into two separate detection paths. The beam splitter directs light to both the unfiltered detector and the filtered detector, enabling simultaneous measurement without requiring complex filtering in a single detector path, thus reducing overall system complexity while maintaining precision.
2Manufacturing precision
If data acquisition parameters are adjusted based on real-time light scatter detection, then particle sorting precision is improved, but loss of time increases due to real-time processing requirements
Solution Approach 1:
The system performs preliminary characterization of particles using the unfiltered light scatter detector to obtain total light intensity and scattering properties before final sorting decisions are made. This preliminary action allows the system to pre-identify particle types and properties, enabling faster real-time sorting decisions without requiring extensive processing time for each individual particle analysis.
Solution Approach 2:
The system implements feedback control where the unfiltered light scatter detector continuously monitors scattered light intensity and provides real-time feedback to adjust data acquisition parameters and sorting decisions. This feedback mechanism enables dynamic adaptation to varying particle properties and flow conditions, improving sorting precision while maintaining efficient real-time processing through continuous parameter optimization.
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
This approach enhances the precision of data acquisition and particle sorting by effectively handling variations in light scattering, improving the characterization of sample components and optimizing data acquisition parameters for better analysis and sorting efficiency.
Implementation Method 1
When a sample is irradiated, light can be scattered by the sample, transmitted through the sample as well as emitted by the sample
Implementation Method 2
an unfiltered light scatter detector configured to detect scattered light from a sample in a flow stream
Implementation Method 3
an optical adjustment component configured to convey light scattered by the sample from the one laser to the light scatter detector
Data Source
AI summary
Systems having an unfiltered light scatter detector configured to detect scattered light from a sample in a flow stream are provided. Systems according to certain embodiments include a light source having two or more lasers, a light detection system having an unfiltered light scatter detector and a processor having memory operably coupled to the processor where the memory includes instructions which when executed by the processor, cause the processor to generate one or more data signals in response to scattered light from each of the two or more lasers detected by the unfiltered light scatter detector; and determine one or more parameters of data acquisition based on the generated data signals from the unfiltered light scatter detector. Methods for determining one or more parameters for data acquisition with the subject systems are also described.