Benjamin Gincley

This paper introduces volumetric flow imaging (VFI) to improve particle characterization in flow imaging microscopy, showing increased focus accuracy and resolution for microorganisms.

This study compares short-read and long-read amplicon sequencing for microalgal community analysis, finding long-reads better capture species-level diversity while short-reads detect grazing pressure indicators.

This paper develops an image processing pipeline for real-time algal bloom monitoring using flow-imaging microscopy and machine learning, improving accuracy in identifying and removing artifacts and novel particles.

This study uses a Variational Auto-Encoder to predict microalgal lipid content from label-free Imaging Flow Cytometry data, demonstrating a low-cost alternative to traditional methods.

The paper uses flow imaging microscopy to monitor microalgal communities in a wastewater treatment plant, identifying morphotype dynamics and their relationship with nutrient recovery and system performance.

The paper introduces ARTiMiS, a low-cost flow imaging microscope for real-time phytoplankton monitoring, and demonstrates its performance in laboratory and full-scale cultivation systems.

The paper examines microbial community dynamics in a full-scale microalgal wastewater treatment facility during stable and upset conditions, identifying key factors affecting nutrient recovery and system performance.