|On the cover: On the cover: Nourished by the gigantic data and empowered by increasing computing facilities, Artificial Intelligence (AI) is setting us free from many burdensome routines. With AI muscles, we have become faster and smarter than ever. AI is reshaping the future of industries and our lives, enabling paradigm shifts in many disciplines of science and even paving the road to the metaverse. But scientists are still facing endless choices to navigate their innovation processes as previously. Meanwhile, collaborations are urgently needed amongst researchers from multidisciplinary studies. So we do hope the shared values of truth, righteousness, and peace can be cherished deeply to make our blue planet a better place for the whole ecosystem.|
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|Position: Home > issue > November 28, 2021 Volume 2, Issue 4|
|Mass spectrometry imaging-based multi-modal technique: Next-generation of biochemical analysis strategy|
|Category: Commentary Download: PDF Figure Endnote|
|Author: Chao Zhao, Lei Guo, Jiyang Dong, Zongwei Cai|
Take a typical mouse fetus imaging for example to clarify the characteristics of MSI-based multi-modal technique
Using advanced molecular imaging techniques, we can acquire the primary disturbance of spatial and temporal information based on histological variations, which has the potential to differentiate the intra-/extraheterogeneity and to predict disease progression or metastasis status in biological systems. Most of the biological and chemical imaging techniques depend on ¡°inherent properties¡± to visualize the target compounds and their interactions from different forms of samples, such as elemental bond information, the mass-to-charge ratio (m/z), molecular fragment, ion mobility, and functional groups.
Zhao C., Guo L., Dong J., Cai Z. (2021). Mass spectrometry imaging-based multi-modal technique: Next-generation of biochemical analysis strategy. The Innovation. 2(4),100151.