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omation mbers - Society for Laboratory Automation and Screening

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TP054<br />

Andreas Kuoni<br />

University of Neuchatel<br />

Institute of Microtechnology<br />

Rue Jaquet-Droz7<br />

Neuchatel, CH – 2007 Switzerl<strong>and</strong><br />

Andreas.Kuoni@unine.ch<br />

Multi-Channel Dispenser <strong>for</strong> Micro-Array Printing<br />

173<br />

Co-Author(s)<br />

Marc Boillat, University of Neuchatel<br />

Bart van der Schoot, Seyonic SA<br />

The ability to carry out assays in parallel in a micro array <strong>for</strong>mat is essential <strong>for</strong> the success of high throughput<br />

analysis systems. We report a new type of piezoelectric dispenser which dispense 65 pL droplets in parallel <strong>and</strong><br />

in a 2D array <strong>for</strong>mat onto a micro-arrray at a 2D spacing of 500 µm. The dispenser is continuously loaded from a<br />

st<strong>and</strong>ard well plate with a well spacing of 4.5 mm during dispensing. An innovative technology using Polyimide<br />

sheets has been developed <strong>for</strong> the construction of a 2D micro-array printing device. The flexibility of the laminated<br />

Polyimide sheets allows assembling different sizes of dispensing arrays at a center-to-center spacing of 500 µm<br />

in a modular way by stacking flexible dispenser sheets (e.g., 32*48, 16*24, 8*12). The major advantages of the<br />

present device are no interface changes in the fluidic path, no tubing <strong>for</strong> liquid transportation, <strong>and</strong> no robotics<br />

system. The spotting has been characterized qualitatively <strong>and</strong> quantitatively. First we observe satellite free<br />

dispensing. The average droplet velocity is 1.79 m/s ± 0.2 m/s per line at a common driving signal of 180 Volts.<br />

The dispensed droplet has a nominal volume of 65 pL, calculated from the droplet diameter. The variation of<br />

dispensed volume between spotting sites is have been compared first by calculating the evaporation rate <strong>and</strong><br />

then applying this to the droplet evaporation time. The average evaporation time <strong>for</strong> a single channel measuring 30<br />

successive droplets is t=1.40 sec ± 0.12 sec results in a CV value of 8.6 %.<br />

TP055<br />

Fred Lange<br />

University of Rostock<br />

Institute of Aut<strong>omation</strong><br />

R.-Wagner-Str. 31<br />

Rostock18119 Germany<br />

fred.lange@uni-rostock.de<br />

Data Mining <strong>and</strong> Visualization in Sports Medicine Aut<strong>omation</strong> by WebServer Oriented<br />

Software <strong>and</strong> WebBrowser Oriented User Interfaces<br />

Co-Author(s)<br />

Regina Stoll<br />

Reinhard Vilbr<strong>and</strong>t<br />

<strong>Laboratory</strong> data archives organized in databases play an important role in modern preventive medicine. Especially<br />

in Occupational Health <strong>and</strong> Sports Medicine huge amounts of data about human’s fitness are produced.<br />

Distributed data sources <strong>and</strong> acquisition systems do not allow to produce enough representive data about all<br />

possible populations in every lab. So, the idea was born to centralize databases <strong>and</strong> to identify physical fitness<br />

data by methods <strong>and</strong> algorithms on the fundaments of these centralized data. But, so the concept <strong>for</strong> data<br />

processing in data mining has to be centralized too. The strategy <strong>for</strong> this is based on Web-server running software<br />

components. The goal was to prevent local software components, except the operating system. This would be<br />

a big step in direction of ubiquitous computing – independed from the operating system. The problem’s solution<br />

is oriented to build data mining procedures in graphic object oriented software systems. Virtual instruments (VIs)<br />

in LabVIEW (National Instruments) are an excellent tool <strong>for</strong> interpretation <strong>and</strong> visualization procedures <strong>for</strong> data in<br />

Occupational <strong>and</strong> Sports Medicine. In the last five years many applications <strong>for</strong> data processing in Occupational<br />

<strong>and</strong> Sports Medicine have been developed in our lab based on local Virtual Instruments connected to real sensor<br />

systems. A way to solve the problem in general is an implementation of centralized server oriented operated<br />

LabVIEW applications connected to a Man-Machine-Interface per<strong>for</strong>med by a Web-Browser. The paper shows<br />

some model-applications <strong>and</strong> the way to realize Web-Interfaces <strong>and</strong> Data mining with the Internet-Toolkit in<br />

LabVIEW. The system can be used to fill the database with data from collaborators via Internet <strong>and</strong> get them back<br />

the calculated results as an image or as an ASCII-data set.<br />

POSTER ABSTRACTS

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