This study aims to investigate the potential improvement in noise reduction against the challenging, low count STEM-EDX data. Note that there are several approaches to set the parameters depending on practical situations: we could compare denoising results obtained by varying parameters and use them as aids for an improved analysis, it would also be useful if we could automatically determine the parameters by using an information criterion or by using training data.