Multi-Plate Conductor (MPC)

Optimization Through Machine Learning Algorithms

Traditional multi-plate experiments frequently encounter inefficiencies stemming from the sequential processing of tasks. For example, when a plate is incubating, subsequent steps are delayed until the incubation is completed. MPC recognizes these critical points and arranges for tasks to be executed in parallel. If future plates require liquid handling, MPC will run the incubation and liquid handling steps concurrently. Since these steps do not interfere with each other, MPC can optimize the process by handling multiple plates simultaneously. Moreover, MPC has the capability to adapt the experiment schedule dynamically by utilizing real-time data from each plate.

Key Features and Benefits

• Dynamic Resource Allocation: MPC continuously monitors the status of each plate and instrument module, allowing it to schedule tasks optimally. This adaptive scheduling reduces idle time and maximizes the use of resources.
• Parallel Execution Capability: Through machine learning-driven insights, MPC identifies opportunities for parallel execution of tasks across different plates and plate types. This capability significantly reduces the overall time required to complete multi-step assays.
• Flexible Experiment Setup: Researchers can easily configure experiments using various plate types (e.g., 96-well, 384-well) and run them concurrently. This flexibility not only enhances throughput but also accommodates diverse experimental requirements seamlessly.

Enhanced Efficiency and Accelerated Discoveries

MPC enables researchers to focus more on data analysis and interpretation rather than experimental logistics by minimizing wait times and maximizing concurrent processing. This efficiency gain translates into accelerated scientific discoveries and increased productivity in laboratory workflows.

Case Study: Improved Efficiency in Functional Assays

Using a Flow CAST® Basophil Activation Test (BAT), the Stratedigm team achieved a 30% reduction in additional processing time per plate when utilizing Multi-Plate Conductor. If conflicting plate needs are eliminated, up to a 90% reduction in additional processing time could be achieved.