Management, Analysis, and Simulation of Micrographs with Cloud Computing
| Autor: | Shawn Zhang, Joseph Neilly, Jasna Jankovic, Alan P. Byrnes |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
General Computer Science Computer science business.industry Distributed computing Image Quantification ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Industrial research Image processing Cloud computing 02 engineering and technology Image segmentation 021001 nanoscience & nanotechnology Microscopy and Microanalysis Drug formulations Characterization (materials science) 03 medical and health sciences 0210 nano-technology business 030304 developmental biology |
| Zdroj: | Microscopy Today. 27:26-33 |
| ISSN: | 2150-3583 1551-9295 |
| Popis: | This article discusses the image processing challenges in modern microscopy and microanalysis associated with large dataset size, microstructure complexity, and growing computing requirements. Solutions for meeting these challenges include artificial intelligence and cloud computing, which provide improved efficiency in managing microscopy data, more robust automated image segmentation, and prediction of physical properties from images with user-friendly high-performance computing. The applications of these technologies in the industrial research environment are exemplified by studies in evaluation of amorphous drug formulations, tight rock characterization for sustainable hydrocarbon extraction, and low-temperature fuel cell design for an environment-friendly automobile. |
| Databáze: | OpenAIRE |
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