Ontology highlight
ABSTRACT:
SUBMITTER: Xu L
PROVIDER: S-EPMC10079050 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Xu Lili L Kikushima Kenji K Sato Shumpei S Islam Ariful A Sato Tomohito T Aramaki Shuhei S Zhang Chi C Sakamoto Takumi T Eto Fumihiro F Takahashi Yutaka Y Yao Ikuko I Machida Manabu M Kahyo Tomoaki T Setou Mitsutoshi M
PloS one 20230406 4
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 pi ...[more]