David Issadore

This study shows microglia influence concussion recovery and identifies EV miRNA biomarkers affected by microglial presence.

LMNOP-bot automates microfluidic material library generation, increasing throughput 50x and enabling precise, reproducible deposition into standard well plates.

This study identifies miRNA biomarkers in brain-derived extracellular vesicles from plasma to distinguish Lewy body disease from Alzheimer's disease with high accuracy.

This paper develops a scalable method to produce ultrasmall inorganic nanoparticles for biomedical use using a confined impinging jet mixer.

This paper presents an automated microfluidic platform for generating large, precisely-defined lipid nanoparticle libraries and evaluates their physicochemical and transfection properties.

This study uses biophysical methods to characterize lipid nanoparticle properties and predict their transfection efficiency.

This paper introduces BDEVS, a platform for high-throughput, multiplexed, and ultra-sensitive profiling of individual extracellular vesicles in plasma, demonstrating a 100x improvement in detecting EV subpopulations.

This paper introduces multi-stage-mixing (MSM) to control lipid nanoparticle (LNP) supramolecular structure, creating a core-then-shell arrangement that significantly improves mRNA and DNA-LNP performance.

This paper develops a scalable microfluidic method to produce silver sulfide nanoparticles for clinical imaging, showing high-quality output and efficient in vivo clearance.

The paper analyzes mtDNA SNVs in single mitochondria from mouse neurons and astrocytes, revealing cell-type-specific mutation patterns and purifying selection.

This paper introduces a high-throughput method for single-cell, single-mtDNA analysis using agarose-based droplet microfluidics, achieving high mtDNA retention and enabling scalable analysis.