Multivariate analysis of ToF‐SIMS data for biological applications

Ji‐Won Park, Hyegeun Min, Young‐Pil Kim, Hyun Kyong Shon, Jinmo Kim, Dae Won Moon, Tae Geol Lee

Surface and Interface Analysis · 2009 · 38 citations · 40 references

Concepts

Abstract

Abstract Applications of time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) were demonstrated, focusing on multivariate analysis (MVA) such as principal component analysis (PCA), principal component regression (PCR), and maximum autocorrelation factors (MAF). Three main categories are presented in this report: quantitative analysis of protein and chemical derivatives, surface characterization of chemical composition, and image‐based analysis in disease‐related tissues. The use of MVA in a ToF‐SIMS study showed improved data interpretation of chemicals or biomolecules on a surface, and consequently enabled the straightforward analysis of ToF‐SIMS data. Even on biological samples with high complexity, the MVA method effectively contributed to obtaining valuable information, including chemical distribution of biomolecules. It is anticipated that MVA with ToF‐SIMS data will be widely used for exploring biological studies in a reliable and simple way. Copyright © 2009 John Wiley & Sons, Ltd.

References

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