A new method to quantify parameters of membrane morphology from electron microscopy micrographs by texture recognition

A new method has been developed in order to automatically quantify parameters of membrane morphology from micrographs obtained through microscopy techniques. The parameters estimated by this algorithm are: pore size distribution, porosity, pore symmetry, regularity and tortuosity, as well as various statistical measures. These properties determine the performance of a membrane.The proposed method is based on texture recognition. It first identifies the pores present in the membrane from a cross-section micrograph of it, then labels them and finally makes the corresponding measurements. The main difference and advantage of this technique with respect to previous proposals is that the algorithm does not perform generic particle recognition, but direct scanning of typical pore structures and no user decisions are needed in all the steps of the process. Additionally, the proposed technique does not only determine typical parameters, such as pore size, but also particular characteristics of membrane topology, such as symmetry.The source information consists of cross-section membrane micrographs that can be typically obtained from electron microscopy (scanning or transmission), as well as from other types of microscopy, which are the most common acquisition techniques used by membranologists. The system provides quantitative, systematic and fast results, which represents a significant advance in the field of membrane analysis.

► Texture recognition techniques are successfully applied to interpret cross-section membrane micrographs.
► Numerical interpretation of membrane micrographs allows computation of membrane morphological properties.
► Quantitative membrane morphological properties can be correlated with synthesis conditions, which allows tailored membranes.