Open software platform for automated analysis of paper-based microfluidic devices
| Autor: | Daniel J. Wilson, Charles R. Mace, Rayleigh W. Parker |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Science Microfluidics Image processing 02 engineering and technology 01 natural sciences Signal Article Imaging studies Medical and clinical diagnostics Measure (data warehouse) Multidisciplinary Lab-on-a-chip business.industry 010401 analytical chemistry Color intensity Process (computing) Bioanalytical chemistry Paper based 021001 nanoscience & nanotechnology 0104 chemical sciences Open software Medicine 0210 nano-technology business Computer hardware |
| Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020) Scientific Reports |
| ISSN: | 2045-2322 |
| Popis: | Development of paper-based microfluidic devices that perform colorimetric measurements requires quantitative image analysis. Because the design geometries of paper-based microfluidic devices are not standardized, conventional methods for performing batch measurements of regularly spaced areas of signal intensity, such as those for well plates, cannot be used to quantify signal from most of these devices. To streamline the device development process, we have developed an open-source program called ColorScan that can automatically recognize and measure signal-containing zones from images of devices, regardless of output zone geometry or spatial arrangement. This program, which measures color intensity with the same accuracy as standard manual approaches, can rapidly process scanned device images, simultaneously measure identified output zones, and effectively manage measurement results to eliminate requirements for time-consuming and user-dependent image processing procedures. |
| Databáze: | OpenAIRE |
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