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Alan H Tkaczyk

Publications and source records attributed to Alan H Tkaczyk.

2 recordsLinked to original sources

Reversible switching of high-speed air-liquid two-phase flows using electrowetting-assisted flow-pattern change.

This work is the first demonstration of electrical modulation of surface energy to reversibly switch dynamic high-speed gas-liquid two-phase microfluidic flow patterns. Manipulation of dynamic two-phase systems with continuous high-speed flows is complex and interesting due to the multiple types of forces that need to be considered. Here, distinct stable flow patterns are formed through a multipronged approach: both surface tension forces generated by surface chemistry modulation as well as viscous and inertial forces produced by fluid flows are employed. The novel fluidic actuation mechanism provides insights into better understanding microscale two-phase flow dynamics and offers new opportunities for the development of two-phase biochemical microsystems that are mechanically simple and operational at high speeds.

Air↗

Micro- and nanotechnologies for studying cellular function.

The study of complex biological systems requires methods to perturb the system in complex yet controlled ways to elucidate mechanisms and dynamic interactions, and to recreate in vivo conditions in flexible in vitro set-ups. This paper reviews recent advances in the use of micro- and nanotechnologies in the study of complex biological systems and the advantages they provide in these two areas. Particularly useful for controlling the chemical and mechanical microenvironments of cells is a set of techniques called soft lithography, whereby elastomeric materials are used to transfer and generate micro- and nanoscale patterns. Examples of some of the capabilities of soft lithography include the use of elastomeric stamps to generate micropatterns of protein and the use of elastomeric channels to localize chemicals with subcellular spatial resolutions. These types of biological micro- and nanotechnologies combined with mathematical modeling will propel our understandings of cellular and subcellular physiology to new heights.

Animals↗