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  • Neurological Image Analysis with MATLAB

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A MATLAB app enables researchers to analyze an entire region of the brain in minutes rather than days.
Third-party products help developers prototype and deploy human machine interface (HMI) applications with integrated graphics and multi-touch and voice input using Model-Based Design.
TrueAllele technology uses MATLAB, Signal Processing Toolbox, and Statistics Toolbox to mathematically separate mixed DNA data into individual contributors and their respective genotypes.
MATLAB image processing and statistical analyses give researchers an objective computational method for measuring the ability of drugs in development to inhibit cancer metastasis.
Recent enhancements to MATLAB® and Image Processing Toolbox™ dramatically increase image processing speed
MATLAB and Simulink models help Simon Fraser University researchers run and control experiments to determine how sensory input affects walking speed.
Run your MATLAB code on a GPU by making a few simple changes to the code.
At the University of Pittsburgh and Washington State University, system dynamics and physiology are combined in a single course.
This article provides brief profiles of 7 customers who use parallel computing to solve computationally intensive problems: Max Planck Institute, EIM Group, Argonne National Laboratory, C-COR, MIT, Univ of London, Univ of Geneva.
Nonlinear mixed-effects modeling provides a good solution for modeling sparse datasets. Using population pharmacokinetics (popPK) data as an example.
In a joint effort with MathWorks Consulting Services, Alkermes developed a video capture and analysis procedure that provides information on the physical factors influencing performance of a capsule-based drug inhaler.
EquuSys used MATLAB to develop an easy-to-use, non-invasive system for identifying and diagnosing equine lameness. The system processes telemetry data to provide objective data on equine biomechanics in the form of charts, 3-D plots, and animation.
Using a typical numerical computing problem as an example, this article describes how to threads and parallel for loops to get code to work well in a multicore system.
This article discusses how researchers at UC San Francisco and UC Davis analyzed high-resolution microscopy images of cells using MATLAB, Statistics Toolbox and Image Processing Toolbox.
Case Western Reserve University researchers developed a programmable device that sends electrical signals to an implant that activates paralyzed limbs and muscles.
Using pre- and post-operative corneal topography data from a LASIK surgery patient as an example, this article describes the modal analysis of optics data using Zernike functions implemented in MATLAB®.
Analyzing array-based comparative genomic hybridization data.
Students at the University of Washington (UW) use MATLAB® and other MathWorks products in one of our most popular courses— EE436: Medical Instrumentation.
Engineering tools and techniques are driving dramatic results in systems biology — from new drugs to biofuels.
Engineers use rapid prototyping to advance cochlear implant technology.
What if Beethoven had been able to communicate directly with an electronic piano that could interpret his brain signals and record his compositions?
Two years ago, researchers for the Human Genome Project unveiled a component “glossary” of the human body that will ultimately yield a database of the 3,000,000,000 chemical base pairs (the DNA sequence) in the human genome.

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