Point-of-care (POC) testing attracts more and more attention in the medical health sector because of their specific property to perform the diagnostic close to the patient. The fast diagnosis right at the hospital or the doctor’s office improves the medical reaction time and the chances for a successful healing process. One of this POC test systems is a “Lab-on-a-Disc” (LoaD) which looks like a compact disc crisscrossed with microfluidic tubes and cavities. The fluid to be analysed is placed in the LoaD and an external device then rotates the LoaD. The cavities inside the LoaD and the centrifugal force ensure a clearly defined sequence of the analysis. Furthermore, we aim for an inexpensive manufacture of the medical product without neglecting its quality and functionality. Therefore, the Fraunhofer IPT works on an assembly cell to implement dissoluble films concisely into the disc. This dissoluble film demonstrates its successful usage as a gate for the fluid, which opens after a predefined moment in the cycle. Furthermore, we investigate to integrate a laser welding process into our gantry system and demonstrate its efficiency with the welding of polymer discs. This procedure is clinically safe because no further laser absorption material is needed in the sealing process, which might pollute the LoaD. Moreover, this process allows the alignment of several discs before the welding and therefore leads to precisely manufactured LoaDs in large quantities. All these methods together enable a fast, costefficient and reliable mass production to bring POC testing among the people.
The LiPhos project (EU FP7 Grant Agreement No.: 317916, www.liphos.eu) aims to develop three different biophotonic diagnosis tools (BDTs), based on living photonics, namely: single layer living photonics (SLLP), single cell analysis (SCA); and multi-layer living photonics (MLLP). By Measuring of what we term the Photonic Fingerprint (or PIN), of the cells in such BDTs, should make it is possible to differentiate between healthy and non-healthy cell or tissue states. Moreover, the effect of specific drugs and pro-inflammatory agents could be assessed. This concept is currently being applied to the diagnosis of cardiovascular diseases (CVD).
An optical fiber sensor is reported which is capable of detecting ethanol in water supplied. A single optical fiber sensor was incorporated into a 1km length of 62.5 μm core diameter polymer-clad silica (PCS) optical fiber. In order to maximize sensitivity, a U bend configuration was used for the sensor where the cladding was removed and the core exposed directly to the fluid udner test. The sensor was interrogated using Optical Time Domain Reflectometry, OTDR as it is intended to extend this work to multiple sensors on a single fiber. In this investigation the sensor as exposed to air, water and alcohol. The signal processing technique has been desigend to optimize the neural network adopted in the existing sensor system. In this investigation the FFT is used and its application leads to an improvement in efficiency of the neural network i.e. minimizing the computing resources. Using SNNS, a feed forward three layer neural network was constructed with the number of input nodes corresponding to the number points required to represent the sensor frequency domain response.
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