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From the 1 of 6 linked papers with an AI index.

activity
20242026
collaborators

6 papers

stat.CO2026

Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities

Richard D. Paul, Anton Stratmann, Johann F. Jadebeck +4

The paper introduces a new MCMC algorithm that combines higher‑order information (gradients and curvature of the log‑density) with Hit‑and‑Run proposals to efficiently sample distr…

q-bio.QM2026

Automated multi-dataset INST C metabolic flux analysis at microliter scale reveals robust fluxes but variable metabolite pools in

Jochen Nießer, Anton Stratmann, Martin Beyß +3

Isotopically non-stationary metabolic flux analysis (INST C-MFA) provides unique insights into cellular physiology but is typically limited by low throughput and high experi…

q-bio.QM2026

Trans-dimensional Bayesian model averaging for C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty

Johann F. Jadebeck, Anton Stratmann, Martin Beyß +1

Accurate quantification of intracellular metabolic fluxes is central to systems biology and biotechnology. Flux estimation relies on biochemical network models, with C metab…

cs.CV2025

acia-workflows: Automated Single-cell Imaging Analysis for Scalable and Deep Learning-based Live-cell Imaging Analysis Workflows

Johannes Seiffarth, Keitaro Kasahara, Michelle Bund +7

Live-cell imaging (LCI) technology enables the detailed spatio-temporal characterization of living cells at the single-cell level, which is critical for advancing research in the l…

q-bio.QM2025

EAP4EMSIG -- Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis

Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal +12

Microfluidic Live-Cell Imaging (MLCI) yields data on microbial cell factories. However, continuous acquisition is challenging as high-throughput experiments often lack real-time in…

q-bio.QM2024

EAP4EMSIG -- Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis

Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal +12

Microfluidic Live-Cell Imaging (MLCI) generates high-quality data that allows biotechnologists to study cellular growth dynamics in detail. However, obtaining these continuous data…