Brand: Renishaw | Category: Nanotechnology
Empty Modelling is Renishaw's patented chemometric method for extracting chemical information from Raman data, and it is aimed at samples where you do not know which chemicals or species are present. It determines the spectra of the key components and generates high quality images of how those components are distributed. Because Renishaw developed it specifically for Raman data, the resulting images and spectra are easier to interpret than those from the more abstract principle component analysis (PCA). In short it tells you what is present, where it is and how big it is.
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Simple or complex backgrounds can be taken off spectral data with a single button click. Intelligent Fitting is Renishaw's proprietary approach and is one of four options provided in WiRE software for removing unwanted fluorescence background; it is completely automated and works consistently and repeatably. It can be applied to a single spectrum or to a multi spectra dataset, including time series, temperature series and maps. Cleaner spectra make database identification easier, keep similar spectra consistent with each other and simplify the analysis of data from fluorescent samples.
Cosmic rays are high energy particles from outer space, and over a long measurement they leave spurious spikes in Raman spectra. Renishaw's Cosmic Ray Remover (CRR) tool in WiRE software deals with them either as the data is collected or afterwards. Acquiring three accumulations and taking the median value at each frequency eliminates spikes during collection, while a simple zap function or the automated CRR processing tool handles files that already contain many features. Removing the spikes preserves spectral band shape, leaves images free of artefacts and gives more confidence when unsupervised chemometric methods such as PCA are applied.
Particle Analysis finds particles on microscope images, reports morphology parameters such as size and aspect ratio, and then guides the inVia Raman microscope to identify them chemically. Instead of processing every particle in a Raman image, you contrast, size and separate individual particles, generate a list that can be sorted and filtered, and select only those worth full chemical analysis; the approach is called morphologically directed Raman spectroscopy (MDRS). A six step automated workflow takes the user from image generation through to reporting results, with detailed colour thumbnails for viewing individual particles. Applications range from filtered environmental particles such as microplastics to deposited pharmaceutical sprays and inhalers, forensic trace materials, graphene and other 2D materials, and biological work such as cytology.