The OT-2 has a camera built in to its chassis, positioned to get a view of the deck. It has a resolution of 640x480px for still images and 320x240px for video. Read More

To use most Python packages in a protocol, they will need to be manually installed on your OT-2. If you’re writing protocols in our Python API, and you want to take advantage of the full power of Python, you might want to import… Read More

CSV files can store a table of values. They can be used for tasks like specifying liquid volumes across a well plate. Read More

Jupyter Notebook can be used to quickly upload, download, and access files on the OT-2. Each robot comes pre-installed with Jupyter Notebook, which can be accessed in your preferred web browser. Read More

This article contains working area diagrams, calculations to determine maximum labware heights based on pipette, and instructions on how to use the X/Y/Z coordinates in a Python API protocol. Read More

This article provides answers to frequently asked questions about using tip racks in protocols. Read More

The OT-2 is built to cover a wide range of biological applications, many of which require a clean environment to ensure success. Read More

This article provides detailed instructions on how to simulate protocols on your computer, without having to be connected to a robot at all. Read More

This article was primarily written for OT-2 users with multiple modules of the same type. However, these instructions can be followed by anyone wanting to run a module without connecting it to a robot. Read More

Each robot comes pre-installed with Jupyter Notebook, which can be accessed in your preferred web browser. This tool enables you to perform advanced tasks, including the ability to control the robot outside of the Opentrons App, simulate protocols, and upload, download, and access files on the OT-2. Read More