Thickness and dielectric constant determination of thin dielectric layers

We derive a method for the determination of the dielectric constant and thickness of a thin dielectric layer, deposited on top of a thick dielectric layer which is in turn present on a metal film. Reflection of p- and s-polarized light from the metal layer yields minima for certain angles of incidence where the light is absorbed by the metal. The thin dielectric layer causes shifts in the angles at which the minima occur, from which the thickness and dielectric constant can be obtained. The model is tested for 3.5 and 14 nm thick photoresist gratings

Determination of thickness and dielectric constant of thin transparent dielectric layers using surface plasmon resonance

The determination of the thickness and dielectric constant of thin dielectric layers by means of surface plasmon resonance is discussed. It appears to be impossible to determine these parameters from one surface plasmon response experiment. This is illustrated theoretically. Variation of the refractive index of the solution in which surface plasmon experiments were performed allowed us to determine these parameters separately

Surface plasmon resonance as a bioanalytical tool

It is shown that Surface PLasmon Resonance is capable of detecting submonolayer quantities of proteins; information concerning the affinity of the surface can be obtained using this method.\ud \ud It is indicated how this method can be used to obtain more detailed information on the conformation of adsorbed macromolecules

Fibre-fluorescence immunosensor based on evanescent wave detection

A fibre-optic sensor capable of detecting an immune reaction between fluorescently labelled antigens and antibodies bound at the waveguide surface is described. In a configuration where skew rays were detected, a signal level was found that made detection of a concentration of 10−9 M antigen possible

Application-Tailored I/O with Streamline

Streamline is a stream-based OS communication subsystem that spans from peripheral hardware to userspace processes. It improves performance of I/O-bound applications (such as webservers and streaming media applications) by constructing tailor-made I/O paths through the operating system for each application at runtime. Path optimization removes unnecessary copying, context switching and cache replacement and integrates specialized hardware. Streamline automates optimization and only presents users a clear, concise job control language based on Unix pipelines. For backward compatibility Streamline also presents well known files, pipes and sockets abstractions. Observed throughput improvement over Linux 2.6.24 for networking applications is up to 30-fold, but two-fold is more typical. © 2011 ACM