Triini Olman

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.