Infrastructure

Automatic Cell Profiling Laboratory

Our workcell for Cell Painting.

Our workcell for imaging, both widefield (we have multiple Cephla Squid microscopes) and confocal (Nikon).

Our experimental setting for autonomous drug perturbations.

Image of U2OS cells after cell painting. Our capacity is 20,000 experiments per week corresponding to ca 200,000 images.

Lab automation software

We are developing an Open Source Automated Robotic System for biological laboratories (https://github.com/pharmbio/robotlab) that can be used for research groups who would like to set up custom automated lab installations comprising multiple instruments. We welcome contributions to this project by all interested developers!

IT-infrastructure

Computational equipment includes networked storage (440 TB), CPU (128 cores, 160+160 GB RAM), 2 GPU clusters (10+4 Nvidia graphics cards) to run demanding Deep Learning analysis. We run a local Kubernetes cluster for provisioning pods to our team members and collaborators. Our entire virtual infrastructure is defined using Infrastructure-as-Code and available from github.