Nanoparticles visualization and extraction for diagnosis and therapy in nanomedicine

Abstract

Nanomedicine is a rapidly developing field of science that has the potential to treat a wide range of complicated ailments. This paper uses a mouse with an inflamed calf and iron oxide nanoparticles (IO-NPs) attached to the therapeutic medicine and put into the mouse’s eye to investigate drug delivery efficiency. The idea is to track and quantify drug delivered to the inflamed calf of the mouse. A high-resolution MRI approach was used to capture images of the inflammatory calf area. Knowing that iron oxide has a high magnetic strength in MRI, image processing techniques were used to calculate the position and number of IO-NPs linked to the administered medication. This paper proposes an image processing approach for detecting and extracting IO-NPs. The images go through pre-processing steps that includes noise filtering and background removal. IO-NPs are isolated from the surrounding tissues using Otsu’s method. The number of IO-NPs grouped in the region, as well as the quantity of medications supplied to the region of interest, can be estimated using IO-NPs extraction. The findings on nanoparticle detection and extraction appear to be a potential method for estimating the amount of medicine targeting a specific location.