An Introduction to Automated Research
27 – 30 October 2025
In Person at TU Berlin
OBJECTIVES
This training school introduces IST and DTU scientists to the core philosophy of R&D in robotic laboratories and advanced computational tools. The program covers various aspects of bioprocess engineering, from small to large scale, along with insights into process analytical technologies and laboratory data management.
COURSE LECTURORS
- Prof. Peter Neubauer, TU Berlin
- Rosa Haßfurther, TU Berlin
- Nicolas Cruz, TU Berlin
- Annina Kemmer, TU Berlin
REQUIREMENTS
This training schools is specifically targeted to introduce IST and DTU researchers to execute high throughput experiments in the TUB site. Therefore, the access for external participants will not be possible.
PROGRAM
Day 1: Stating a Hypothesis
Monday – October 27th
09:00 Opening remarks
09:15 Independent scientific working – roadmap to a manuscript
10:15 Coffee break
10:45 Definition of the objective in the high throughput experiment
11:30 Proposing a Hypothesis that will be tested in the Experiment
13.00 Lunch break
14:00 Lab tour
15:00 Coffee break
15:20 Proposing a Hypothesis – continuation
16:00 Day 1 wrap-up
18:00 Team dinner
Day 2: Stating a Hypothesis & finalization of experimental Preparations
Thursday – October 28th
09:00 Welcome
09:10 Discussion of SOP for 2mag Experiments
10:00 Preparation of the run:
- Preparing scripts (iLab, Tecan, Hamilton, Feeding,..)
- Chemicals
- Materials
- Sampling strategies (at/offline and EoF sampling)
16:30 Day 2 wrap-up
Day 3: Cultivation with Vibrio natriegens in 2mag Platform and Analytics
Wednesday – October 29th
07:00 Meet up in the lab
07:05 Starting setup – no structured plan for this day (open end, eventually midnight)
Split up in teams to ensure a quick start of the cultivation and the possibility for long enough breaks for everyone
Day 4: Introduction to Design for high throughput Experiments
Wednesday – October 30th
10:00 Opening remarks (might be later – depending on duration of Day 3)
10:15 Disussion of experimental outcome in respect to the Hypothesis
11:00 Which items can be produced for the manuscript?
11:50 Coffee break
12:00 Discussion of ToDos until the last day of data evaluation
13.00 Lunch break and end of the Training School