Light-induced Extracellular Vesicle Adsorption

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The paper introduces Light-induced Extracellular Vesicle Adsorption (LEVA), a label-free, high-resolution platform that uses light to rapidly create tunable extracellular vesicle and particle micropatterns bound to matrices or surfaces. The authors demonstrate LEVA with commercial GFP-labeled EV standards, EVs produced from glioblastoma bioreactors, and E. coli outer membrane vesicles, then use the resulting patterns for single-EV characterization, single-cell migration along migrasome-mimetic trails, and OMV-mediated neutrophil swarming. A stated limitation is that existing methods lacked label-free, high-resolution, tunable platform capabilities comparable to LEVA, motivating the new system. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract The role of extracellular vesicles (EVs) in human health and disease has garnered considerable attention over the past two decades. However, while several types of EVs are known to interact dynamically with the extracellular matrix and there is great potential value in producing high-fidelity EV micropatterns, there are currently no label-free, high-resolution, and tunable platform technologies with this capability. We introduce Light-induced Extracellular Vesicle Adsorption (LEVA) as a powerful solution to rapidly advance the study of matrix- and surface-bound EVs and other particles. The versatility of LEVA is demonstrated using commercial GFP-EV standards, EVs from glioblastoma bioreactors, and E. coli outer membrane vesicles (OMVs), with the resulting patterns used for single EV characterization, single cell migration on migrasome-mimetic trails, and OMV-mediated neutrophil swarming. LEVA will enable rapid advancements in the study of matrix- and surface-bound EVs and other particles, and should encourage researchers from many disciplines to create novel diagnostic, biomimetic, immunoengineering, and therapeutic screening assays. Competing Interest Statement The authors have declared no competing interest. Footnotes Contributing authors: hisey.12{at}osu.edu; rima.3{at}osu.edu; doon-ralls.1{at}osu.edu; koratagerenagaraj.1{at}buckeyemail.osu.edu; mayone.1{at}buckeyemail.osu.edu; nguyenkim.1{at}osu.edu; wiggins.186{at}buckeyemail.osu.edu; kalpanadeepapriya.dorayappan{at}osumc.edu; Selvendiran.Karuppaiyah{at}osumc.edu; wood.750{at}osu.edu; hu1930{at}iastate.edu; patel.4423{at}osu.edu; palmer.351{at}osu.edu; hansford.4{at}osu.edu;

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last seen: 2026-05-20T01:45:00.602351+00:00