Analysis of nanostructures by magneto-optical images

Abstract

The analysis of magnetic domain structures using optical and scanning microscopic images is described. These structures are often observed upon thin films being affected by magnetic fields. The described technique is grounded in the separation of objects into four structural types that are the basis of almost all patterns in an image. They are blobs, fronts, needles, and dendrites. The functions for analyzing these basic structures have been developed. For the description and classification of the structures, a set of specific characteristics for each structural type has been determined. A ZUBR system for magneto-optical image processing is briefly described.

AI image-based diagnosis systems: how to implement them?

“…In particularly, it was successfully used for diagnosis of thyroid cancer (Fig. 2) [18]. Russian-Belarusian system for analysis of ophthalmology images has been developed to solve the following tasks: (1) identification of the lipid layer state in the intermarginal space of human eyelids; (2) analysis of the degree of cellular structure density (cellularity) in the corneal tissue of human eyes; (3) identification of the state of the retinal blood flow when analyzing fluorescent angiograms of the human fundus; and (4) morphometric analysis of the state of the epithelium posterius (endothelium) in the human eye cornea.…”