-New functionality lets scientists simulate and visually examine automated experiments earlier than robots run them
-Mixed simulation and visualization layer bridges AI-generated protocols and actual laboratory execution
NEW YORK, March 16, 2026 — Earlier than a robotic experiment begins, researchers should perceive precisely how the robotic will execute every step. Opentrons Labworks, Inc., a laboratory robotics firm enabling AI-driven autonomous science, immediately introduced Protocol Visualization for Opentrons Flex®, a brand new simulation and visualization functionality throughout the Opentrons software program surroundings. The characteristic permits scientists to simulate and visually examine robotic protocols in a dynamic digital surroundings previous to working them on a Flex system. Throughout the interface, customers can observe pipette actions, liquid dealing with actions, labware positions, and module standing all through an automatic workflow. For researchers creating automated experiments, previewing protocol execution could assist determine potential points earlier than reagents and instrument time are dedicated.
Synthetic intelligence instruments are more and more used to suggest experiments and generate automated protocols by means of pure language prompts or programmatic interfaces. These techniques can design workflows containing hundreds of robotic actions. Nonetheless, these workflows should nonetheless be translated into dependable bodily directions that function accurately inside laboratory automation techniques. The brand new simulation and visualization surroundings introduces an inspection layer between AI-generated experimental plans and robotic execution by permitting scientists to step by means of every motion of a protocol earlier than it runs on a robotic. Researchers can navigate workflows step-by-step or transfer rapidly throughout your entire timeline to look at how robotic actions will unfold. For organizations deploying AI-assisted experimentation, the flexibility to evaluate robotic execution pathways could enhance oversight of automated experimental design.
Simulation and visualization is supported for protocols authored throughout the Opentrons software program ecosystem, together with OpentronsAI, the Python Protocol API, and the Protocol Designer utility. The visualization surroundings tracks pipette positioning, liquid volumes, tip utilization, and labware interactions whereas sustaining a steady view of the Flex deck configuration. Scientists can examine workflows containing hundreds of actions and observe modifications in liquid ranges at microliter scale. The system additionally features a Slot Highlight view that gives further element for particular person deck areas, permitting customers to watch effectively volumes and module situations all through a run. For laboratories creating complicated automation workflows, this degree of inspection could help sooner debugging and protocol refinement.
“AI can now design experiments and generate robotic protocols, however scientists nonetheless want to grasp how these experiments will execute within the bodily world,” stated James Atwood, Chief Government Officer of Opentrons. “This functionality offers researchers a dynamic solution to simulate and examine robotic execution earlier than an experiment begins, making a clearer bridge between computational design and bodily laboratory workflows.”
By design, visualization operates instantly throughout the Opentrons App and requires solely a protocol file to run. Scientists can evaluate workflows offline with out connecting to a robotic, enabling protocol improvement and troubleshooting whereas automation techniques are working different experiments. This functionality permits researchers to iterate on experimental workflows with out interrupting lively laboratory operations. For groups managing shared robotic infrastructure, offline inspection could help sooner improvement of automated protocols.
“Our focus is constructing the execution layer that connects AI-generated experimental plans to actual laboratory experiments,” stated Atwood. “As AI techniques suggest extra experiments, researchers want infrastructure that makes these experiments comprehensible, inspectable, and repeatable earlier than they attain the bench.”
The discharge arrives amid fast progress in connecting synthetic intelligence techniques with laboratory automation. Opentrons has lately expanded its work integrating AI platforms with robotic experimentation infrastructure, together with collaborations used to coach bodily AI techniques for laboratory environments. On this context, simulation and visualization instruments assist researchers interpret how computationally generated experimental plans translate into robotic actions inside standardized laboratory {hardware}. For organizations exploring autonomous experimentation, inspection layers that expose robotic execution particulars could help extra clear and dependable AI-driven analysis workflows.
The brand new functionality can be out there by means of Opentrons App model 9.0, scheduled for launch in April 2026. The characteristic is designed to be used with the Opentrons Flex robotic platform and helps protocols authored throughout the Opentrons software program ecosystem. For laboratories adopting AI-assisted experimentation, the replace supplies a brand new device for reviewing automated workflows earlier than they’re executed on bodily laboratory techniques.
About Opentrons
Opentrons builds the execution layer for autonomous science. Its open, API-driven laboratory robots standardize organic experimentation for drug discovery, genomics, and diagnostics, enabling steady studying between AI fashions and bodily laboratories. Opentrons’ rising OEM platform technique permits instrument producers to combine the Flex as an embedded automation system inside their very own scientific platforms. Backed by SoftBank and Khosla Ventures, Opentrons is headquartered in New York. Opentrons presently has greater than 10,000 robotic techniques deployed globally, together with installations at main analysis universities and most of the world’s largest biopharma firms. For extra info, go to opentrons.com.
