Flow Cytometer Auto-Alignment for Accurate Cell Sorting Setup

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Solution Overview

Problem

Existing flow cytometers require substantial user input for setup and manual adjustment, particularly in aligning the flow stream and collection vessels, which can lead to inefficiencies and inaccuracies in cell sorting.

Innovation Solution

The implementation of an imaging sensor system and processor configuration that captures images of the flow stream, determines key parameters, and automatically adjusts the flow cytometer settings, such as stream position, nozzle diameter, and electrical charge, to optimize the sorting process without human intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If manual alignment of flow stream and collection vessels is used, then setup flexibility is maintained, but time consumption and operational complexity increase

Engineering Contradiction:
Improvesetup timeVSAvoidalignment system
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system uses imaging sensors to automatically detect flow stream position and collection vessel locations, then autonomously calculates and executes alignment adjustments without user intervention. The processor independently processes image data and controls stage movements, enabling the system to self-align components.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical alignment operations are replaced by an automated vision-based system. Imaging sensors capture positions, and a processor-driven control system replaces manual stage adjustments with automated motorized positioning, eliminating the need for user-performed mechanical alignment.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If automated parameter adjustment is implemented, then sorting accuracy improves, but device complexity increases

Engineering Contradiction:
Improvesorting accuracyVSAvoidautomation system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system captures images of the flow stream and collection vessels, processes this visual information to determine actual positions and parameters, then uses this feedback to automatically adjust settings. The imaging system provides continuous feedback that enables real-time optimization of sorting parameters based on detected conditions.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The imaging sensor system serves multiple functions: detecting flow stream position, measuring collection vessel locations, determining nozzle parameters, and providing data for automated alignment. This multi-functional approach consolidates what would otherwise require separate measurement and adjustment systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Ease of operation

If imaging sensor system is added for automatic detection, then operational ease improves, but device complexity and cost increase

Engineering Contradiction:
Improvesetup procedureVSAvoiddetection system
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The imaging sensor system enables the flow cytometer to automatically perform setup tasks that traditionally required user input. The system self-detects positions, self-calibrates parameters, and self-adjusts alignment, freeing users from manual setup procedures entirely.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The imaging sensor acts as an intermediary between the physical components (flow stream, collection vessels) and the control system. It captures visual information and translates it into data that the processor can use for automated decision-making and adjustment, bridging the gap between physical state and control actions.

Inventive Principle:
Principle #24Intermediary (Mediator)

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 automation significantly reduces the need for manual adjustments, enhancing the accuracy and efficiency of cell sorting by optimizing the alignment and parameters of the flow cytometer, leading to improved particle collection and sorting accuracy.

Implementation Method 1

an imaging sensor configured to capture one or more images of a detection field of a flow stream

Methodology Applied
Scientific EffectLight detection: Light

Implementation Method 2

the flow cell is rapidly vibrated by an acoustic device, such as a piezoelectric element

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Implementation Method 3

rapidly vibrated by an acoustic device

Methodology Applied
Scientific EffectAcoustic vibration: Ultrasonic Vibration

Implementation Method 4

a charging element whose electrical potential can be rapidly changed

Methodology Applied
Scientific EffectElectrical charging: Electrostatic Induction

Implementation Method 5

droplets, whether they are charged or are uncharged must be collected in a sample collection vessel that is appropriately directed to collect the one or more flow streams generated by the deflection plates

Methodology Applied
Scientific EffectElectrostatic deflection: Electrostatic Induction

Data Source

PatentUS11060894B2Automated set-up for cell sorting
Publication Date: 2021.07.13 BECTON DICKINSON & CO
  • US11060894B2 patent drawing
  • US11060894B2 patent drawing
  • US11060894B2 patent drawing

AI summary

Apparatus and methods are described for automatically performing set-up steps for flow cytometry operations. The invention provides for the spatial determination of a flow stream and the subsequent automatic alignment of analysis devices and/or collection vessels. The automatic determination of flow stream properties provides for the automatic configuration flow cytometer parameters.