Farhan Ahmed Khan

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

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.