Translate this page to:
Choose Language…
In JoVE (1)
Other Publications (2)
Articles by Byungwook Ahn in JoVE
JoVE Bioengineering
Endothelialized Microfluidics for Studying Microvascular Interactions in Hematologic Diseases
1Department of Pediatrics, Emory University School of Medicine, 2Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 3Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, 4Winship Cancer Institute of Emory University
A method to culture an endothelial cell monolayer throughout the entire inner 3D surface of a microfluidic device with microvascular-sized channels (<30 μm) is described. This in vitro microvasculature model enables the study of biophysical interactions between blood cells, endothelial cells, and soluble factors in hematologic diseases.
Other articles by Byungwook Ahn on PubMed
Guiding, Distribution, and Storage of Trains of Shape-dependent Droplets
We present a simple method of guiding, distributing, and storing of a train of shape-dependent droplets by using side flows, cavity guiding tracks, and storage chambers. The squeezing flow makes a train of flattened droplets to align to one side of the wall and the pushing flow guides it to one of the designated guiding tracks. Then the guided droplets move along the guiding track due to the lowered surface energy when they flow along the track. In addition, simultaneous droplet guiding and storing process has been demonstrated. An array of storage chambers placed in each track could store each train containing differently concentrated droplets. The proposed method will be useful for distribution of droplets for further processes or storing for multiplex, large-scale, dynamic assays over time.
Droplet-based Microfluidic Device for Multiple-droplet Clustering
We present a multiple-droplet clustering device that can perform sequential droplet trapping and storing. Shape-dependent droplet manipulation in forward and backward flows has been incorporated to achieve high trapping and storing efficiency in a 10 × 12 array of clustering structures (e.g., storing well, storing chamber, trapping well, and guiding track). In the forward flow, flattened droplets are trapped in each trapping well. In the backward flow, the trapped droplets are released from the trapping well and follow the guiding tracks to their corresponding storing wells. The guided droplets float up out of the confining channel to the super stratum of the storing chamber due to interfacial energy and buoyancy effects. This forward/backward flow-based trapping/storing process can be repeated several times to cluster droplets with different contents and samples in the storing chambers. We expect that the proposed platform will be a valuable tool to study complex droplet-based reactions in clustered droplets.
