Morphology measurement software tools | Mass spectrometry imaging analysis
Mass spectrometry imaging (MSI) was developing fast with the invention of various in-situ ionization sources and their combinations with different mass analyzers for specific analytical demands. The greatest power of MSI lies in its ability to simultaneously acquire the molecule features and their morphological distributions in one single MSI experiment. Nowadays, it has become the most promising analytical tool in the field of life science, metabolomics, proteomics, drug development, clinical diagnosis and molecular mechanism research.
Allows to simulate leaf hemispherical reflectance and transmittance in the 400–800 nm region. PROSPECT can retrieve accurately, multiple photosynthetic pigment concentrations. The main functions of this tool are: (1) the ability to simulate accurately, in vivo leaf directional hemispherical reflectance (DHR) and directional hemispherical transmittance (DHT) spectra, (2) it can be used to retrieve leaf Chlorophyll s (Chls) and Cars with similar accuracies, and (3) it provides an additional capability for retrieving individual Chla and Chlb concentrations.
Shows the calculation of emissivity, vegetation cover, reflectance, brightness temperature and radiance as a function of leaf area index (LAI). SAIL enables users to partly bridge the current gap between the analytical canopy–soil models operating separately in the optical and the thermal-infrared (TIR) spectral domains. It might lead to better exploitation of the possible synergies offered by simultaneous co-registered optical and TIR remote sensing observations.
MSI has emerged as a technique suited to resolving metabolism within complex cellular systems; where understanding the spatial variation of metabolism is vital for making a transformative impact on science. Unfortunately, the scale of MSI data and complexity of analysis presents an insurmountable barrier to scientists where a single 2D-image may be many gigabytes and comparison of multiple images is beyond the capabilities available to most scientists. The OpenMSI project will overcome these challenges, allowing broad use of MSI to researchers by providing a web-based gateway for management and storage of MSI data, the visualization of the hyper-dimensional contents of the data, and the statistical analysis.
Serves for automated detection of tumour heterogeneity in matrix-assisted laser desorption ionization-image mass spectrometry (MALDI IMS experiments). 'Divisive ik-means algorithm for MALDI IMS' allows users to discover squamous cell carcinoma and keratinized stratified squamous epithelium.
Makes to physically interpret spectral and directional reflectance fields as sampled by Earth observation sensors in terms of leaf biochemical contents and canopy architecture. SAIL is coupled with PROSPECT and the numerical inversion of the resulting PROSAIL. It provides a means to generate databases and test new spectral indexes. It performs sensitivity analyses that will allow better designs on forthcoming sensors devoted to specific applications, long before their launch.
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