Graphical Flow Cytometry Protocol Modeling for Multi-Plate Execution
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Solution Overview
Problem
Implementing flow cytometry protocols in programming languages is time-consuming and requires specialized knowledge, and existing graphical sequences do not optimize for execution time or computing resources.
Innovation Solution
A graphical user interface allows users to build protocols without coding, with a system that calculates and generates an optimized execution sequence requiring less time and computing resources, translating the graphical model into executable code for flow cytometry machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If users implement flow cytometry protocols in programming languages, then the protocols can be executed by flow cytometry machines, but the implementation process is time-consuming and requires specialized programming knowledge
Solution Approach 1:
The patent replaces the mechanical programming process with a visual graphical interface system. Users construct protocols by assembling graphical elements (blocks representing operations, conditions, and control structures) instead of writing code, thereby eliminating the need for programming knowledge and significantly reducing implementation time while maintaining executable protocol functionality
Solution Approach 2:
The patent introduces a graphical interface as an intermediary layer between the user and the flow cytometry machine execution system. This intermediary translates visual graphical models into executable code automatically, allowing users to work with intuitive graphical elements while the system handles the programming translation, thus resolving the contradiction between ease of use and executable functionality
2Productivity
If users generate execution sequences using graphical models, then protocols can be executed on multiple plates, but the execution time and computing resources are not optimized
Solution Approach 1:
The patent implements dynamic optimization of execution sequences by analyzing the graphical model and automatically generating optimized execution orders for multiple plates. The system dynamically adjusts the execution sequence to minimize total execution time and computing resource usage, transforming static graphical models into dynamically optimized multi-plate execution plans
Solution Approach 2:
The patent changes execution parameters by generating optimized execution sequences that adjust plate processing orders, parallel execution strategies, and resource allocation based on the graphical model analysis. This parameter optimization reduces total execution time and computing resource consumption while maintaining the ability to execute protocols across multiple plates
Data Source
AI summary
Disclosed is a system and method providing a graphical user interface that allows a user to quickly build a graphical representation defining the set of instructions in a protocol without the user needing the programming knowledge to encapsulate those instructions in executable code. The graphical model may include graphical elements corresponding to instructions or program logic. Once the graphical model designed for a single plate is finalized, the system generates a first execution sequence for executing the graphical model on multiple plates. The system then generates a second execution sequence that will require less time and/or computing resources than the first execution sequence. The system generates an executable code for the second execution sequence, and executes the code representing the second execution sequence instead of the first execution sequence using various flow cytometry machines.