CT collimation measurements using CR plates. Please reference Bjarnason TA, Yang CY. CT radiation profile width measurement using CR raw data. Journal of Applied Clinical Medical Physics. 2015;16:501-507. Available from: http://www.jacmp.org/index.php/jacmp/article/view/5512
A MATLAB toolbox for relating neural signals to continuous stimuli
mTRF Toolbox is a MATLAB toolbox that permits the fast computation of the linear stimulus-response mapping of any sensory system in the forward or backward direction. It is suitable for analysing EEG, MEG, ECoG and EMG data. The forward model, or temporal response function (TRF), can be interpreted using conventional analysis techniques such as time-frequency and source analysis. The TRF can also be used to predict future responses of the system given a new stimulus signal. Similarly, the backward model can be used to reconstruct spectrotemporal stimulus information given new response data. mTRF Toolbox facilitates the use of continuous stimuli in electrophysiological studies as opposed to time-locked averaging techniques which require discrete stimuli. This enables examination of how neural systems process more natural and ecologically valid stimuli such as speech, music, motion and contrast. Support documentation: http://dx.doi.org/10.3389/fnhum.2016.00604
Forward and inverse modelling in optical tomography
Toast++ is a C++ software package for modelling light transport in scattering media using the finite element method. It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping.
GRAMPC - A gradient based MPC software for real-time applications
GRAMPC is a real-time model predictive control (MPC) tool that is suited for controlling nonlinear systems with input constraints. GRAMPC uses an efficient projected gradient algorithm with an adaptive line search strategy in order to allow an MPC implementation for highly dynamical systems with sampling times in the (sub)millisecond range and/or high-dimensional systems. GRAMPC is implemented in plain C with an additional interface (GUI) to MATLAB/Simulink. A fixed number of gradient iterations is used in each new MPC step and the current solution is used as new initialization (warm-start) to successively refine the predicted MPC trajectories over the single MPC steps.
A MATLAB Automatic Differentiation Tool
ADiGator is a source transformation via operator overloading tool for the automatic differentiation of mathematical functions written in MATLAB. Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc.
Rapid Alignment Free Tool for Sequences Similarity Search
RAFTS3 can perform high-speed protein search comparisons locally using a desktop computer or laptop. RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. Preprint: http://dx.doi.org/10.1101/055269 Precomputed databases evaluated on paper are available for download at http://www.bioinfo.ufpr.br/software/rafts3
Microarray Integrator for heterogeneous human/mouse Affymetrix arrays
The Microarray Integrator is freely available programs to integrate heterogeneous Affymetrix microarrays for human and mouse. The cell-type-specific genes or condition-specific genes can be screened in the integrated microarrays by MAI result.
Modeling and analysis tools for the TX-TL cell-free expression system
This project contains tools for using the TX-TL cell-free expression system. These tools include component models for simulating and analyzing biomolecular circuits, as well tools for composing circuits and creating more complex systems. NOTE: This project has been shifted to GitHub: https://github.com/BuildACell/txtlsim
Verification via biSimulations of Max-Plus-Linear models
This toolbox is used to generate finite abstractions of autonomous Max-Plus-Linear (MPL) systems over R^n. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). The LTS finite abstractions are shown to either simulate or to bisimulate the original MPL system. LTS models are to be verified against given specifications expressed as formulae in Linear Temporal Logic (LTL) and Computation Tree Logic (CTL). The toolbox intends to leverage the NuSMV model checker. Models are to be expressed in the C++ language. The abstraction procedure runs in C++. The generated LTS is exported to the NuSMV language. As such, it can be fed, along with a specification of interest, to the NuSMV model checker. If you are more familiar with JAVA language, we suggest you to try VeriSiMPL version 2.0 which is fully based on JAVA. If you are more familiar with MATLAB language, we suggest you to try VeriSiMPL version 1.4 which is fully based on MATLAB.
UNLocBox (Matlab convex optimization toolbox)
The UNLocboX is a matlab convex optimization toolbox part of the UnlocX project. It is composed of the most used algorithms such as forward backward, Douglas-Rachford, admm or ppxa. Moreover a collection of proximal operators is available in order to implement problems very efficiently.
MRI Multiple Echo T2 Analysis
Users load multiecho MRI data and draw ROIs. AnalyzeNNLS creates a T2 distribution from the averaged decay data. Regional fractions and geometric T2 times can be determined. Please reference: Bjarnason TA, Mitchell JR. JMR 206:200-4 (2010). Temporal Phase Correction included in version 2.5. If you use this functionality, please reference: Bjarnason TA, Laule C, Bluman J, Kozlowski P. JMR 232:22-31 (2013).
Dynamics of quantum systems, controlled by external fields
WavePacket is a program package for numerical simulation of quantum-mechanical wavepacket dynamics for distinguishable particles. It can be used to solve one or more (i.e. coupled channels) time-independent or time-dependent (linear) Schrödinger and Liouville-von Neumann-equations. Optionally accounting for the interaction with external electric fields within the semiclassical dipole approximation, WavePacket can simulate modern experiments using ultrashort light pulses in photo-induced physics or chemistry, including optimal control. The extended graphical capabilities allow visualization 'on the fly', including Wigner transforms to phase space. WavePacket is especially suitable for teaching of quantum mechanics as well as for research projects in physics and chemistry, see also http://www.youtube.com/channel/UC1-0XnOHS0cE1H2pjvOsSBA While the Matlab version is already in a stable and mature state, the C++ version is still under construction aiming at an object-oriented rewrite.
All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
The GetData library provides an API to interface with Dirfile databases. The Dirfile database format is designed to provide a fast, simple, scalable format for storing and reading binary, synchronously-sampled, time-ordered data.
slab3d is a real-time virtual acoustic environment.
slab3d is a real-time virtual acoustic environment rendering system. It includes two rendering applications, libraries for spatial auditory display and audio signal processing development, and a set of tools for HRTF analysis and visualization.
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK.
EigenMS is a normalization method implemented in R (and older version in Matlab) available as a set of two functions that should be used in a sequence. Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them. EigenMS eliminates effects from known and unknown factors and can be utilized for any -omic platform. We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014
Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
IRBEM-LIB provides routines to compute magnetic coordinates for any location in the Earth's magnetic field, to perform coordinate conversions, to evaluate geophysics/space-physics models, and to propagate orbits in time.
A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
Heat transfer in a bar and sphere using finite differences.
Simulation of the heat transfer in a bar and a sphere (1D) using finite differences in Matlab. Authors: -Jheyson A. Mogollon R. - email@example.com -Luca Meinardo - firstname.lastname@example.org -Angie Xiomara González - email@example.com Current Version: 2.0 Date: 30/05/2017
Visibility improvement through single image defogging
Single image fog removal is used for visibility improvement. It removes fog and conserves details while maintaining color quality of an image. It can be used to restored the weather degraded images due to fog. MATLAB functions are individually incorporated for each stage of fog removal like airlight estimation and transmission estimation.
An open source controller for Scalextric community
Open source controller for Scalextric community. Scalextric Controller is composed by a custom hand controller, used to drive the Scalextric slots cars, and Android application used to communicate with the hand controller via Bluethoot low power (BLE). This project repository contains the PCB project, the micro embedded software, the Android App and the 3D CAD design of the cricital mechanical parts.
Matlab-based analysis of Atom Probe Data
A collection of scripts and functions for the analysis of atom probe tomography data. Currently, this includes: standard file operations, plotting mass spectra, mass spectra analysis and peak deconvolution. If you are looking for Dan Haley's "weights" program, go here https://sourceforge.net/projects/apttools/files/extras/
Discovering clusters with varying densities
This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571