Multiple methods have been developed to estimate size and shape of nanoparticles from transmission electron microscopy images. However, some of them have limiting characteristics such as hard to use, expensive… Click to show full abstract
Multiple methods have been developed to estimate size and shape of nanoparticles from transmission electron microscopy images. However, some of them have limiting characteristics such as hard to use, expensive or have steps that make the results unreal. We present here a comparison of a manual (IMAGEJ) and an automated analysis, both free methods. The gold nanoparticles were synthesized by the traditional Turkevich method using sodium citrate. We used 23 images of gold nanoparticles. The results of our study show that the conglomerated particles can be excluded—given that a sufficient amount of particles is included in the analysis. We show that CellProfiler can be highly efficient to assumptions about size and shape of nanoparticles. These findings provide a new approach of free software that can be applied as machine learning and therefore automate the processing of nanoparticles data.
               
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