Articles and Citations

Articles

Introduce Deep Learning AI to Your Additive
Manufacturing R&D and QC
The aim of deep learning AI  is to teach software to adapt
to your own micrographs. It works in the presence of varying contrasts and feature
texture, as well as sample preparation artifacts...
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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 AM&P 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
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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Posts

How to Automate Powder Imaging & Analysis
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Powder analysis is frequently used in various industries, including...
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Understanding the Importance of Pore Size Distribution Analysis
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Pore size distribution analysis plays a crucial role in understanding the properties...

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Why is Deep Learning Image Processing Essential?​
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With the continuous advancement of technology in today’s digital world, having systems...
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How Can MIPAR Help with Grain Structure Analysis?
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Grain structure analysis is a staple of materials science. It factors into routine...
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The Basics of Semiconductor Defect Analysis
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​Semiconductor devices are used in a wide range of modern...
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How to Measure the Porosity of Nanofibers​

​Nanofibers possess a range of unique properties that make them important...
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Where Software Fits Into Particle Analysis Workflows​

​Particle analysis is critical in many scientific fields, including...
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What is Metal Phase Analysis?
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Grain size is a fundamental property of metallic materials that enormously...
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How is Grain Size Measured?
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Grain size is a fundamental property of metallic materials that enormously...
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How to Automate Materials Science Analysis
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Materials scientists study the structural properties of a near-limitless...
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Deep Learning for Contaminants
Contaminant analysis is a crucial segment of the manufacturing workflow...
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Defect Analysis
Defect analysis usually refers to the task of studying the properties of defects themselves...
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Particle Analysis
Understanding the advantages and disadvantages of individual techniques of particle analysis is a critical element...
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Thermal Imaging
With speeds of railway vehicles increasing, reaching current maximums of up to 350km/h…
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Benefits of All-Digital Histology
The structural properties of tissues are associated with their functionality...
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What is Digital Pathology?
Digital pathology encompasses the acquisition, management, sharing and interpretation...
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Porosity: Understanding
No solid is entirely dense. All materials, from advanced ceramics to heavy metal alloys...
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Aerial Surveys: Drone Imaging
Drone imaging is an innovative technology that transforms methods of aerial surveys...
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Cell Image Analysis
Compound microscopy paved the way for biologists to uncover a microscopic world occupied by...
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Grain Structure Analysis
The industries of material science and engineering are drivers toward innovations intended to...
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Drone Imaging with MIPAR
Drone imaging is a radically disruptive technology that is faster, safer...
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The Basic Principles of Cell Identification
All living organisms are composed of cells, from unicellular protozoa...

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How to Measure Pore Size Distribution?
Pore size distribution is a key metric in materials research and development (R&D)...
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Case Studies

  • Lithium-ion Cathode Microstructure Analysis
  • Lithium-ion Comprehensive Microstructure Analysis
  • Ti and Ni Alloy Microstructure Analysis
  • Additive Manufacturing Defect Analysis
  • Cancer Cell Histology
  • Academic Materials Laboratory Class

Citations

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