Jonathan Flax
University of Rochester
10 Papers
12 Citations
Jonathan Flax is an academic researcher from University of Rochester. The author has contributed to research in topics: Tumor progression & Membrane. The author has an hindex of 4, co-authored 10 publications. Previous affiliations of Jonathan Flax include University of Rochester Medical Center.
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Papers
Systematic Evaluation of PKH Labelling on Extracellular Vesicle Size by Nanoparticle Tracking Analysis.
Mehdi Dehghani,Shannon M. Gulvin,Jonathan Flax,Jonathan Flax,Thomas R. Gaborski,Thomas R. Gaborski +5 more
TL;DR: No significant shift in the size of labelled EVs was detected with luminal binding dye molecules such as 5-(and-6)-carboxyfluorescein diacetate succinimidyl ester (CFDA-SE), which suggests that PKH labelling may not be a reliable technique for the tracking of EVs.
Exosome labeling by lipophilic dye PKH26 results in significant increase in vesicle size
TL;DR: In this article, the possibility of minimizing the size shift of PKH-labeled extracellular vesicles (EVs) was systematically studied by changing the labelling condition, and no significant shift in the size of labelled EVs was detected with protein binding dyes.
Tangential flow microfluidics for the capture and release of nanoparticles and extracellular vesicles on conventional and ultrathin membranes
Mehdi Dehghani,Kilean Lucas,Jonathan Flax,James L. McGrath,Thomas R. Gaborski,Thomas R. Gaborski +5 more
TL;DR: Investigation of a new method to isolate micro- and nano-scale species termed tangential flow for analyte capture (TFAC) shows higher efficiency of capture and release with significantly lower pressures indicating that ultrathin nanomembranes are well-suited for TFAC of delicate nanoscale particles such as EVs.
A predictive model of nanoparticle capture on ultrathin nanoporous membranes
Kilean Lucas,Mehdi Dehghani,Tejas S. Khire,Thomas R. Gaborski,Jonathan Flax,Richard E. Waugh,James L. McGrath +6 more
TL;DR: In this paper, the authors present static analytical and dynamic computational models of nanoparticle capture on NPN and compare them to a range of experiments using 60-nm gold nanoparticles (AuNPs) as surrogates for biological nanoparticles.
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