Digital transformation journeys for materials science

22 Feb 2022

R&D organizations in advanced chemical manufacturing must find ways to improve efficiency in an increasingly challenging environment. Workforces are highly distributed and must find novel ways to collaborate remotely. The complexity of novel materials and advanced formulations drives the exponential growth of the number of experiments required to deliver a breakthrough product. Careful design of experiment (DOE) is essential to containing cost and time-to-market. Evermore sophisticated testing equipment and analytical techniques drive an even larger explosion of the size and complexity of the result sets to be processed. In this white paper, PerkinElmer address the need for informatics in material science laboratories

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Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Molecular Recognition SoftwareMolecular recognition software is widely used to analyze DNA, RNA, proteins and chemicals. The software can be useful for graphical viewing, comparative analyses, high-throughput screening, genomics, proteomics and phylogenetics. Molecular recognition software uses bioinformatics tools and analyses such as BLAST searches and generates structural predictions, 3D structures and sequencing information.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.Polymeric MaterialsPolymeric materials are widely used in industries ranging from biomedical devices to packaging and electronics. Research into these materials focuses on their properties, including strength, flexibility, and degradation. Advances in polymer science have enabled the development of more sustainable and high-performance materials. Explore the best polymeric material products in our peer-reviewed product directory; compare products, check reviews, and get pricing directly from manufacturers.Digital ImagingDigital imaging is a technique that captures images of biological and chemical samples in high resolution, often using advanced cameras and sensors. This technology is crucial in microscopy, diagnostics, and quality control. Explore digital imaging systems in our peer-reviewed product directory; compare products, check reviews, and get pricing directly from manufacturers.
Digital transformation journeys for materials science