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introduction to the KIWI-biolabs project
Machine learning/AI, AnIML / SiLA2 to close the loop in LifeScience Robotics.

dr. mark doerr

institute for biochemistry, university greifswald/tu-berlin/uni-hildesheim
Greifswald, 2020-06-04

uni-logo
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the greifswald protein screening platform LARA

lara
* lara intro

LARA - real robotics at the institute for biochemistry

* protein screening engineering * findind the right enzyme in 1E5 to 1E9 variants * lara movie
KIWI_project
* protein screening engineering * findind the right enzyme in 1E5 to 1E9 variants * lara movie

KIWI project - overview

* In the very early days of personal computing, I was wondering, why the computer was not used

KIWI - partners

KIWI_partners
* protein screening engineering * findind the right enzyme in 1E5 to 1E9 variants * lara movie

scientific data - structure

scientific-data
* In the very early days of personal computing, I was wondering, why the computer was not used

LARA suite ( gitlab.com/larasuite )

LARA-workflow
* In the very early days of personal computing, I was wondering, why the computer was not used

LARA suite - technologies

summary: KIWI-biolabs, LARA and AnIML

building the lab of the future - how do we all benefit ?

  1. machine learning in BioTech and LifeScience applications
  2. closing the loop of autonomous, machine guided experimentation
  3. standadised data exchange between remote robotics labs
  4. high meta-data content for improved AI/Machine Learning
  5. possiblity to re-interpret / re-evaluate the data in the future with evolved knowledge
  6. SiLA as commincation standard between the components
  7. long term data storage
  8. free and open source python AnIML implementation: https://gitlab.com/LARAsuite/animl_python
* In the very early days of personal computing, I was wondering, why the computer was not used

acknowledgements

robot hard- and software

  • Stefan Born (TU Berlin)
  • Peter Neubauer with his group (TU Berlin)
  • Johannes Kabisch with his group and associates (TU Darmstadt)
  • Egon Heuson (REALCAT/Lille France)
  • The SiLA core working group
  • The AnIML core working group

general thanks to

  • uwe Uwe Bornscheuer
  • Financing: Deutsche Forschungsgemeinschaft (DFG), BMBF and federal state of Mecklenburg-Vorpommern

THANX !