Kate L. White

This study uses 3D morphometry to show how mitochondrial structure, density, and location change in response to metabolic stimuli in INS-1E cells.

This paper evaluates cross-talk between fluorescent proteins and NADH FLIM, identifying compatible FPs and providing a pipeline to manage cross-excitation in metabolic imaging.

This paper uses dielectrophoresis to separate insulin granule subpopulations and shows they change in response to insulinotropic signals.

The paper examines how mitochondrial proximity influences insulin secretory granule (ISG) maturation through biophysical and spatial changes in pancreatic beta cells.

The paper introduces MitoXRNet, a deep learning model for 3D segmentation of mitochondria and nuclei from soft x-ray tomography data, showing improved performance and enabling analysis of mitochondrial morphology changes under different conditions.

This study shows secretory stimuli induce distinct structural changes in insulin secretory granules, affecting their maturation and subcellular distribution in beta-cells.

This paper develops a kinetic and data-driven model of pancreatic β-cell metabolism to understand its role in glucose-stimulated insulin secretion and predict therapeutic interventions.

This study evaluates 15 scoring functions to rank the quality of 3D subtomogram clusters from cryo-electron tomography, identifying two robust methods that work across varying signal-to-noise ratios.