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Oral Sessions
Day 3, June 24(Tue.) 14:25-14:40
Room B (Maesato Center)
- 3B-O2-1425
AI-Driven Analysis of Mass Spectrometry Imaging
(Hamamatsu Univ Sch Med)
oMitsutoshi Setou
Mass spectrometry imaging (IMS), a type of spatial omics, is a technique that enables simultaneous measurement of spatial and mass information by performing a two-dimensional scan of the sample surface with mass spectrometry. Since MSI acquires mass spectral data at thousands to tens of thousands of measurement points, the amount of data is enormous. By developing imaging analysis techniques that utilize this big data from MSI, we aim to extract biological structures that cannot be observed using traditional histological methods such as tissue staining or immunohistochemistry. To date, we have reported results on multidimensional image analysis based on features extracted from mass spectrometry data, using concepts such as neural networks1, information entropy2, and spatial information coarse-graining3. In this presentation, we will present the enhancement of MSI spatial resolution using generative AI-driven analysis4. Looking ahead, we aim to advance integrated analysis with data from other spatial omics.
References
1)Yamada H et al., J Am Soc Mass Spectrom. 2022, 33(9):1607-1614.
2)Xu L et al., PLoS One. 2023, 18(4):e0283966.
3)Xu L et al., Phys Rev E. 2024, 109(1-1):014402.
4)Xu L et al., J Am Soc Mass Spectrom. 2025, 36(1):127-134