Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
...The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis (EFA) or the regularized alternating least squares (REGALS) methods.
Active source code is now maintained on github:
https://github.com/jbhopkins/bioxtasraw
To install:
Check the instructions available at: http://bioxtas-raw.readthedocs.io/en/latest/install.html and in the Files tab.
...
Rapid, unbiased, reproducible analysis of synaptic events
Eventer is a programme designed for the detection of spontaneous synaptic events measured by electrophysiology or imaging. The software combines deconvolution for detection, and variable length template matching approaches for screening out false positive events. Eventer also includes a machine learning-based approach allowing users to train a model to implement their ‘expert’ selection criteria across data sets without bias. Sharing models allows users to implement consistent analysis procedures. ...
Deconvolution of luminescence cross-talk in microplate reader data
An algorithm to deconvolve the luminescence cross-talk in high-throughput gene expression profiling to recover the true luminescence activity of a microplate.
Matlab software for analysis of skin conductance data (SC; viz., electrodermal activity, EDA; galvanic skin response, GSR). Data decomposition and scientific analysis based on deconvolution approach. Various functions via GUI or batch-mode.
...The modules for peak deconvolution, peak profile analysis and determination of Ea and lnA will be provided first. Full GUI will be provided in beta stage. Due to computational limitations, the code is partly programmed in Python and partly in R. Python code will eventually be fully integrated into GUI. R code might remain standalone, although it will be integrated to a highest possible degree.
This is a collection of ImageJ macros (scripts) for performing color deconvolution and analysis of immunohistochemistry (IHC) staining on tissue microarray (TMA) images
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