Material Networks Analyzer (MANA)
Material-by-design made possible
Material Networks Analyzer (MANA) is a rapid characterization tool that identifies critical topological features of complex material networks directly from microscopic images while providing comprehensive visualized statistics.
MANA facilitates an in-depth investigation of the structure-property relationships inherent to materials and supports the development of accurate physics-based models to advance material-by-design strategies. Moreover, it employs advanced feature extraction techniques to potentially uncover novel or shared properties among different materials.
Designed for efficiency and user-friendliness, MANA processes millions of pixels in seconds to reveal network structures, identify key topological features, and generate detailed statistical reports without requiring specialized technical expertise.
Its sophisticated algorithms for accurate network restoration and reconstruction enable MANA to outperform existing commercial software solutions.
Features
Know the route
The animated visualization feature enhances users’ comprehension of the underlying network structure and facilitates the exploration of connectivity and percolation pathways.
Matters don't matter
MANA is adaptable to a diverse array of materials, including carbon nanotubes, copper and silver nanowires, synthetic nanofibers, polymers, cells, tissues, and scaffolds, among others.
Work with the imperfection
Even when confronted with suboptimal inputs—a common occurrence in practical applications—MANA is capable of discerning underlying patterns and providing a general characterization of the data.