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Open Access Software
Below are examples of software provided by the SM3 project. These tools enable the collection and subsequent analysis of SEHI (Secondary Electron Hyperspectral Imaging) image stacks. All software is available under an MIT licence.​
01
AI-assisted Data Analytical Tool for Secondary Electron Hyperspectral Imaging (in Matlab)
Matlab implementation of machine learning approach presented in the paper ''Towards Automated Chemical Analysis of Materials Using Secondary Electron Hyperspectral Imaging and Unsupervised Learning'', which can be used for high-throughput chemical analysis of materials at the micro- and nano-scale.
02
Colour SEHI
The packaged MATLAB application is a data processing tool to enable colouring of hyperspectral image volume datasets from secondary electron hyperspectral imaging (SEHI).
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The methodology of the colour enriched SEHI (CSEHI) approach is described in section 3.2 and 3.3 of the article:
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“Insights into surface chemistry down to nanoscale: An accessible colour hyperspectral imaging approach for scanning electron microscopy”.
Reproduced from https://doi.org/10.1016/j.mtadv.2023.100413 under CC BY 4.0.
03
PsySEHI
Data processing and analysis tools for Secondary Electron Hyperspectral Imaging (SEHI) and Scanning Electron Microscope (SEM) derived Secondary Electron (SE) spectroscopy. ​
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(a) SEHI data volume with outlined regions of interest. (b) SE spectra derived from regions of interest in (a) with labelled spectral features. Reproduced from https://doi.org/10.1016/j.micron.2022.103234 under CC BY 4.0.
04
SEHI - Automatic iFAST Spectral Acquisition
This is an automatic iFast collection recipe (iFast developers kit version 3.0.16.1738) which steps the Mirror Voltage between -15V and 20.4 V (Energy range of -1.6 to 11.6 eV.) An image (frame time 0.5 seconds) is collected with each successive 0.6 V with no pauses between images. This batch of images can then be analysed to create S Curves and SE Spectra.
Reproduced from https://doi.org/10.1051/bioconf/202412906003