1 citations · 1 across the 1 of their papers we have counts for
3 papers
Automatic Raman Measurements in a High-Throughput Bioprocess Development Lab
Christoph Lange, Simon Seidel, Madeline Altmann +6
This study presents a collection of physical devices and software services that fully automate Raman spectra measurements for liquid samples within a robotic facility. This method…
Deep Learning for Fast Inference of Mechanistic Models' Parameters
Maxim Borisyak, Stefan Born, Peter Neubauer +1
Inferring parameters of macro-kinetic growth models, typically represented by Ordinary Differential Equations (ODE), from the experimental data is a crucial step in bioprocess engi…
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries
Maxim Borisyak, Stefan Born, Peter Neubauer +1
Cultivation experiments often produce sparse and irregular time series. Classical approaches based on mechanistic models, like Maximum Likelihood fitting or Monte-Carlo Markov chai…