activity
20232025
collaborators

7 papers

cs.CV2025

Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials

Thomas Lautenschlager, Nils Friederich, Angelo Jovin Yamachui Sitcheu +4

High-throughput toxicity testing offers a fast and cost-effective way to test large amounts of compounds. A key component for such systems is the automated evaluation via machine l…

cs.CV2025

Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data

Simon Baeuerle, Pratik Khanna, Nils Friederich +4

Foundation Models (FMs) have shown impressive performance on various text and image processing tasks. They can generalize across domains and datasets in a zero-shot setting. This c…

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…

cs.CV2024

Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics

J. Seiffarth, L. Blöbaum, R. D. Paul +6

Tracking the development of living cells in live-cell time-lapses reveals crucial insights into single-cell behavior and presents tremendous potential for biomedical and biotechnol…

cs.CV2023

AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy

Nils Friederich, Angelo Yamachui Sitcheu, Oliver Neumann +4

In the biomedical environment, experiments assessing dynamic processes are primarily performed by a human acquisition supervisor. Contemporary implementations of such experiments f…