N. S. Hatzakis

The paper shows that neurons have constitutive endolysosomal perforations enabling internalized alpha-synuclein fibrils to induce aggregation, and inhibiting PIKfyve kinase reduces this effect.

This paper introduces DeepSPT, a deep learning framework that automates the analysis of sub-cellular diffusion to infer functional information, achieving high accuracy in identifying endosomal structures during viral infections.

SEMORE automates super-resolution data analysis by using machine learning to segment and quantify protein assemblies, enabling classification of aggregation pathways and nuclear pore complex geometry.

This paper uses single-molecule imaging to study DNA and nucleosome condensation by polyamines, HP1α, and Ki-67, revealing kinetic differences in condensation and dissolution.

This study assesses the immunogenicity of human insulin aggregates with varying size, structure, and modifications, finding that flexible aggregates with altered secondary structure are most immunogenic.

This study investigates how preparation methods and post-treatment affect the morphology and integrity of insulin amyloid-like aggregates.

This study uses single molecule fluorescence microscopy to observe insulin self-assembly and disassembly, revealing new pathways and how additives influence oligomer formation.

The paper introduces a fluorescence-bleaching assay using total internal reflection fluorescence microscopy to analyze multiple parameters of proteoliposomes at the single-vesicle level.

This study benchmarks eleven tools for inferring kinetic rate constants from smFRET trajectories using simulated and experimental data with varying challenges.

This study uses super-resolution microscopy to observe and quantify the heterogeneous growth of amyloid spherulites in real-time, revealing anisotropic growth pathways and energy landscapes.

The paper introduces SPARCLD, a method for parallelized, multi-step liposome fusion using DNA, enabling high-throughput combinatorial screening with minimal material.

The paper identifies ligands that dock on P450 oxidoreductase (POR) to bias its specificity towards CYP redox partners, revealing a mechanism for pathway-specific metabolism.

DeepFRET automates smFRET data classification using deep learning, achieving >95% accuracy and speed compared to human operators.

This paper introduces a fluorescent assay to measure lipase activity on native substrates by detecting changes in membrane environment, revealing how membrane curvature and lid region mutations affect lipase function.