Journal Article

Spatial distribution of the Shannon entropy for mass spectrometry imaging

Yao, Ikuko, Kikushima, Kenji, Sato, Shumpei, Setou, Mitsutoshi, Sakamoto, Takumi, Kahyo, Tomoaki, Machida, Manabu, Sato, Tomohito, Xu, Lili, Eto, Fumihiro, Aramaki, Shuhei, Zhang, Chi, Takahashi, Yutaka, Islam, Ariful

2023

Overview

Mass spectrometry imaging (MSI) allows us to visualize the spatial distribution of molecular components in a sample. A large amount of mass spectrometry data comprehensively provides molecular distributions. In this study, we focus on the information in the obtained data and use the Shannon entropy as a quantity to analyze MSI data. By calculating the Shannon entropy at each pixel on a sample, the spatial distribution of the Shannon entropy is obtained from MSI data. We found that low-entropy pixels in entropy heat maps for kidneys of mice had different structures between two ages (3 months and 31 months). Such changes cannot be visualized by conventional imaging techniques. We further propose a method to find informative molecules. As a demonstration of the proposed scheme, we identified two molecules by setting a region of interest which contained low-entropy pixels and by exploring changes of peaks in the region.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Analysis / Animals / Biology / Biology and Life Sciences / Computer and Information Sciences / Diagnostic Imaging / Engineering and Technology / Entropy / Entropy (Information theory) / Evaluation / Geospatial data / Image processing / Imaging techniques / Ions / Kidneys / Lasers / Mass spectrometry / Mass Spectrometry - methods / Mass spectroscopy / Medical research / Medicine and Health Sciences / Mice / Physical Sciences / Pixels / Research and Analysis Methods / Scientific imaging / Spatial distribution / Spectrum analysis