The OT-2R electronics are designed for Ethernet connectivity, without the internal USB-to-Ethernet converter found in the OT-2. As a result, the OT-2R can be directly connected to a router through its Ethernet port. Read More

Opentrons strongly recommends using Opentrons tips. Opentrons pipette nozzles have specific geometry that work best with Opentrons tips, which come in filter and non-filter formats. Read More

Deck and pipette offset calibration are normally completed using Opentrons OT-2 Tips (non-filtered), but Opentrons OT-2 Filter Tips can be substituted for this process. Read More

This article provides instructions on recalibrating your pipette’s tip length and pipette offset before running a protocol in the event that you encounter bad calibration data that needs to be overwritten to proceed with the run. Read More

The OT-2 moves pipettes around in 3D space. To do that accurately and precisely, it needs to be calibrated. This article serves as an in-depth guide on how the OT-2 moves its pipettes to the right places. Read More

This article describes how Labware Offset data is utilized during the Labware Position Check workflow when running a protocol on the OT-2. Read More

Running a Calibration Health Check through the Opentrons App can help ensure your OT-2’s positional calibration is accurate. If it isn’t, the check will help you identify which parts need to be fixed. Read More

There are quite a few ways to write and simulate Opentrons Python protocols on your computer, but installing and using Python on a Windows computer can be complicated. This quick and easy method takes advantage of the new Ubuntu for Windows 10 to manage your Python environment in a Linux… Read More

Dead volume refers to the residual volume of liquid left in the well or lost to waste that cannot be used in the application due to the risk of aspirating air. This can be due to well geometry and a number of other factors. High dead volumes may be concerning… Read More

This article provides detailed guidance on incorporating multiple modules of the same type within Python API protocols, which enable the ability to use and independently control identical modules in the same protocol. Read More