Automated Staining System with Real-Time Optical Feedback
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Solution Overview
Problem
The existing manual staining processes for biological samples are time-consuming, prone to errors, and inefficient, particularly in multiplexing techniques where multiple stains are required, leading to excessive reagent consumption and limited shelf life issues.
Innovation Solution
An automated closed-loop system that includes a flow cell, illumination source, monitoring unit, and controller to optimize staining cycles by monitoring optical characteristics and adjusting reagent application based on real-time data, minimizing reagent volume and dwell time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual staining techniques are used, then flexibility in handling different stains is maintained, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The system uses automated feedback loops where the controller monitors staining progress in real-time and automatically adjusts reagent application timing and duration based on actual sample conditions, eliminating the need for manual timing adjustments while maintaining optimization for each specific stain type
Solution Approach 2:
The system incorporates real-time monitoring of staining progress with feedback to the controller, which automatically adjusts the staining cycle parameters based on the actual state of the sample, ensuring both speed and accuracy without manual intervention
2Device complexity
If fixed staining times are used for all antibodies, then the process is simple to control, but weak stains are over-processed and strong stains are under-processed
Solution Approach 1:
The controller receives real-time feedback on staining intensity and automatically adjusts the duration and intensity of reagent application for each antibody, ensuring optimal staining for both weak and strong signals without requiring complex pre-programming for each stain type
Solution Approach 2:
The system dynamically adjusts staining parameters during the process based on real-time monitoring data, allowing the control algorithm to adapt to different antibody strengths and sample conditions while maintaining simple operator interface
3Reliability
If extended reagent dwell time is used, then staining completeness is improved, but reagent consumption increases and shelf life is reduced
Solution Approach 1:
The system monitors staining progress in real-time and automatically terminates reagent application as soon as optimal staining is achieved, preventing over-exposure and reducing reagent consumption while ensuring complete staining for each specific sample
Solution Approach 2:
The automated system self-regulates reagent application duration based on real-time feedback, eliminating the need for conservative extended dwell times and optimizing reagent usage for each individual staining cycle
4Adaptability or versatility
If multiple serial stains are applied, then multiplexed analysis capability is improved, but total operation time increases significantly
Solution Approach 1:
The system performs multiple staining cycles in continuous sequence without manual intervention between steps, maintaining automated reagent application and monitoring throughout the entire multiplexed staining process to minimize idle time
Solution Approach 2:
The controller dynamically optimizes each staining cycle duration based on real-time feedback, allowing faster processing of each individual stain while maintaining quality, thereby reducing the cumulative time for multiple serial stains
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 reduces manual intervention, optimizes reagent usage, and enhances the reliability and efficiency of the staining process, allowing for precise control of each step and minimizing sample degradation.
Implementation Method 1
a monitoring unit operatively coupled to the flow cell and configured for monitoring one or more optical characteristics of the biological sample
Data Source
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AI summary
A closed loop automated method for staining of a biological sample is provided. The method comprises providing a biological sample, staining at least a portion of the biological sample by flowing in a reagent, monitoring one or more optical characteristics of the biological sample, and calculating a figure of merit based on at least one of the optical characteristics. An automated device for iterative staining of a biological sample is also provided.