InSituAnalyze: A Python Framework for Multi-Components Synchronous Analysis of Spectral Imaging.
Summary of "InSituAnalyze: A Python Framework for Multi-Components Synchronous Analysis of Spectral Imaging."
Spectral imaging is of visualization, high precision, and high sensitivity, and suitable for analyzing the spatial distribution of complex materials. While providing rich and detailed information, it makes higher demands on feature extraction and information mining of high-dimensional data. For the convenience of further utilization, our research team has developed a python framework for the multi-component synchronous analysis of spectral imaging based on characteristic band method and fast-NNLS algorithm, helping to handle spectrum data from complex samples and gaining semi-quantitative information of the sample on the scale of pixel based on target components. With the help of the easy-to-use framework, users are leading to choose suitable pretreatment methods for image and spectrum, extract spatial information of tissues/structures account of multi-space, and conduct analysis on target components in an intuitive and timesaving way. The sophisticated functional architecture also makes the framework expedite to add algorithms and supported data format.
Affiliation
Journal Details
This article was published in the following journal.
Name: Analytical chemistry
ISSN: 1520-6882
Pages:
Links
- PubMed Source: http://www.ncbi.nlm.nih.gov/pubmed/31794662
- DOI: http://dx.doi.org/10.1021/acs.analchem.9b03374
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