Software for Differential Dynamic Microscopy (DDMCalc)
Simple, objective quantification of motion and dynamics occurring in potentially low-quality or high-noise video images The only commercially available code to perform a DDM algorithm and/or statistically analyze data
Measuring diffusivities/sizes of particles and other structures in small quantitiesVelocimetry and differentiating velocity from diffusive motionMeasuring collective dynamics of complex fluids and groups of objectsMeasuring kinetic processes/stability in formulated productsMotions of biological systems/swarms
Researchers at UC Santa Barbara have created a MATLAB code for performing differential dynamic microscopy (DDM). The invention takes a time sequence of video images as input, and produces statistical information regarding time and spatial correlations of the motion occurring within the video images. The software also includes a module for regression of data to extract the diffusivity for systems undergoing diffusive motion. No other code has been made available to perform the mentioned algorithm and/or statistically analyze the data from it.
Background Video imaging is becoming increasingly common for inline testing, monitoring or optimization of processes and products that involve dynamical processes (motion or development of objects and structures). There are challenges involved with analysis of such videos to extract precise information that would influence decision making and design, either because the dynamics are subtle and unapparent to the naked eye, or because they are readily apparent but hard to quantify. One potential solution involves statistical constructs that give information about the temporal and spatial correlations of motion within a video. A powerful example is differential dynamic microscopy (DDM) analysis. However, there is a lack of code available to perform DDM effectively and statistically analyze data from existing algorithms. Additional Technologies by these Inventors Tech ID/UC Case 25669/2016-317-0 Related Cases 2016-317-0
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