Articles and Citations

Articles

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Deep Learning for Micrograph Analysis

In this interview, AZoM talks to Dr. John Sosa, CEO and Co-Founder of MIPAR Image Analysis, about micrograph analysis and deep learning...
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Automated Micrograph Analysis feature article in Advanced Materials and Processes magazine

Advances in software algorithms and design enable automation of microstructure image analysis, leading to cost savings, reduction in measurement variability and access to important metrics...
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From Satellites to Cells: How MIPAR Can See it All from Central Ohio
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To keep up with the high demand for their expert microscopic analysis capabilities, the team at Ohio State’s Center for the Accelerated Maturation of Materials (CAMM) needed a more robust image analysis software...
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MIPAR Software enables precise and repeatable quantification of nickel alloy precipitates

Using Mipar, along with a new imaging technique, NASA overcame barriers to accurate image analysis that had frustrated the aerospace materials community for decades...

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Citations

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• Genetic control of root anatomical plasticity in maize​

• Measurement of creep deformation of ex-service 12% Cr steel using digital image correlation

• Probiotic Effects of a Novel Strain, Acinetobacter KU011TH, on the Growth Performance, Immune Responses, and Resistance against Aeromonas hydrophila of …

 

• On the Assessment of Creep Damage Evolution in Nickel-Based Superalloys Through Correlative HR-EBSD and cECCI Studies

 

• Analysis of the Barley Cereal Cyst Nematode Resistance Locus Rha2

 

• Initial Weldability of High Entropy Alloys for High Temperature Applications

 

• Image Segmentation for FIB-SEM Serial Sectioning of a Si/C–Graphite Composite Anode Microstructure Based on Preprocessing and Global Thresholding

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• Quantitative Characterization of Misfit Dislocations at GaP/Si Heteroepitaxial Interfaces via Electron Channeling Contrast Imaging and Semi-Automated Image…

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