Smartphone Cortex Controlled Real-Time Image Processing and Reprocessing for Concentration Independent LED Induced Fluorescence Detection in Capillary Electrophoresis
| Autor: | András Guttman, Máté Szarka |
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| Rok vydání: | 2017 |
| Předmět: |
Light
Controller (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Analytical chemistry Oligosaccharides Image processing 01 natural sciences Signal Minicomputer Analytical Chemistry law.invention Capillary electrophoresis Limit of Detection law Image Processing Computer-Assisted Fluorescent Dyes Pyrenes 010405 organic chemistry Image processor Chemistry Dynamic range 010401 analytical chemistry Electrophoresis Capillary 0104 chemical sciences Credit card Spectrometry Fluorescence Smartphone Algorithms Biomedical engineering |
| Zdroj: | Analytical Chemistry. 89:10673-10678 |
| ISSN: | 1520-6882 0003-2700 |
| Popis: | We present the application of a smartphone anatomy based technology in the field of liquid phase bioseparations, particularly in capillary electrophoresis. A simple capillary electrophoresis system was built with LED induced fluorescence detection and a credit card sized minicomputer to prove the concept of real time fluorescent imaging (zone adjustable time-lapse fluorescence image processor) and separation controller. The system was evaluated by analyzing under- and overloaded aminopyrenetrisulfonate (APTS)-labeled oligosaccharide samples. The open source software based image processing tool allowed undistorted signal modulation (reprocessing) if the signal was inappropriate for the actual detection system settings (too low or too high). The novel smart detection tool for fluorescently labeled biomolecules greatly expands dynamic range and enables retrospective correction for injections with unsuitable signal levels without the necessity to repeat the analysis. |
| Databáze: | OpenAIRE |
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