Articles and Citations

Case Studies

Water Quality Case Study
Classroom Course
​​Cancer Cell Histology
Titanium Phase Analysis
Water Quality and Petri Analysis
​Materials Science Lab Course
​Cell Counting
Phase Analyis
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Cathode Microstructure
 Lithium-ion Battery Microstructure
Ti and Ni Alloy Microstructure
Additive Manufacturing 
Particle Analysis​
Comprehensive Analysis​
Phase and Grain Analysis
Defect Analysis​
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Articles

Introduce Deep Learning AI to Your Additive Manufacturing R&D and QC
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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
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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
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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
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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

Using Image Analysis to Detect Micro-electromechanical System Manufacturing Defects
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Micro-Electro-Mechanical Systems (MEMS) are miniature devices that integrate mechanical components and electrical circuits​...​​
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How is Image Processing Software Used in the Pharmaceutical Industry?​
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Image processing software is increasingly indispensable across various pharmaceutical sectors, especially in research and development...
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Defect Analysis
Defect analysis usually refers to the task of studying the properties of defects themselves...
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​Understanding the Promise of AI-Driven Image Analysis in Pharma
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Pharmaceutical manufacturing is a cornerstone of modern health and well-being...
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The Dawn of Particle Analysis in the Age of Artificial Intelligence
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Particle analysis, a pivotal technique in materials science, chemistry, and biology, revolves around the characterization...
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The Revolution of Image Analysis with Artificial Intelligence

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In the digital age, images have become an integral part of our daily lives...
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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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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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How to Measure the Porosity of Nanofibers​

​Nanofibers possess a range of unique properties that make them important...
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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 to Automate Materials Science Analysis
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Materials scientists study the structural properties of a near-limitless...
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Benefits of All-Digital Histology
The structural properties of tissues are associated with their functionality...
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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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Drone Imaging with MIPAR
Drone imaging is a radically disruptive technology that is faster, safer...
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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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Pivoting from Chart Analysis to Automation using Artificial Intelligence.  
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Metallurgical chart analysis is a technique for evaluating a material's microstructure, primarily for applications...​​
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Using Image Analysis to Detect the Root Cause of Defects
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Root cause analysis (RCA) in materials science is an investigative process critical for...
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The Transformation of Grain Structure Analysis with Artificial Intelligence​

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In the realm of materials science, the analysis of grain structures stands as a...
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How to Automate Powder Imaging & Analysis
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Powder analysis is frequently used in various industries, including...
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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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The Basics of Semiconductor Defect Analysis
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​Semiconductor devices are used in a wide range of modern...
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Where Software Fits Into Particle Analysis Workflows​

​Particle analysis is critical in many scientific fields, including...
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How to Automate Manufacturing Defect Analysis
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Defect analysis in manufacturing is critical in maintaining product quality...
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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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Deep Learning for Contaminants
Contaminant analysis is a crucial segment of the manufacturing workflow...
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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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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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Grain Structure Analysis
The industries of material science and engineering are drivers toward innovations intended to...
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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 Image a Petri Dish?
Learn how to optimize imaging conditions for automated analysis of petri dishes...
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