ARPh - Automated Research Platform at HSCGEC
Our platform's automated capabilities and community resources are made possible through the CIRM Shared Resource Laboratory Infrastructure Grant: "A modular automation approach to stem cell modeling to increase throughput, reproducibility, and access" awarded to our Center. This infrastructure funding directly enables us to lower the barriers to advanced stem cell technologies, ensuring researchers have streamlined access to high-throughput automation, precision gene editing, and highly reproducible disease models.
How to Access the ARPh
Joint Research & Grant Collaboration
We are always looking to push the boundaries of automated science by partnering with forward-thinking research teams. If you have a project that aligns with our platform's capabilities, we can collaborate to write a joint research grant proposal. This pathway allows us to combine our expertise, secure dedicated funding together, and build a powerful foundation for long-term scientific discovery.
Once the joint grant is awarded, your team will be granted full, integrated access to the automated research platform. This cooperative model ensures you have the sustained technical support and infrastructure needed to execute your project’s specific workflows seamlessly from start to finish.
On-Demand Advanced Training
For teams and individuals looking for immediate, direct utilization of our infrastructure, we offer an expedited pathway through specialized education. You can enroll in our comprehensive, on-demand curriculum: the Advanced Automation Training for Stem Cell Modeling Course. This program is designed to rapidly build your technical autonomy and mastery of our specialized systems.
The training provides rigorous, hands-on experience with our state-of-the-art workflows and safety protocols. Upon successful completion of the course, you will be fully certified and granted independent access to the setup to configure and run your own automated experiments.
Contact
Deniz Ata, Ph.D.
Center Manager
Lead Research Associate on Genome Engineering