Ott Scheler

The paper presents a droplet-based workflow for antimicrobial screening in complex matrices, showing it can detect MICs at lower concentrations and reveal extract-specific aggregation effects.

The paper introduces a droplet cytometry and sorting platform for fast and accessible screening of yeast cells based on fluorescence signals.

This paper develops an open-source image analysis pipeline using texture-based methods to assess bacterial aggregation in microfluidic droplets, achieving high accuracy and broad applicability.

The paper presents a label-free image analysis pipeline using Cellprofiler to identify microfluidic droplets, microplastic particles, and bacterial growth without fluorescent labels.

The paper introduces user-friendly analytical pipelines for droplet array analysis using open-source tools and a custom visualization tool.

This paper evaluates four free image analysis software for droplet detection, finding that objective-type software is more suitable for non-experienced users, with CellProfiler offering the best user experience.

CellProfiler is a free open-source software tool for analyzing droplet microfluidic assays, demonstrated through droplet digital quantification of viable fluorescent bacteria.