Publication: Multi order correction algorithms to remove image distortions from mass spectrometry imaging datasets
Multi order correction algorithms to remove image distortions from mass spectrometry imaging datasets
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Gerber, F., Marty, F., Eijkel, G. B., Basler, K., Brunner, E., Furrer, R., & Heeren, R. M. A. (2013). Multi order correction algorithms to remove image distortions from mass spectrometry imaging datasets. Analytical Chemistry, 85(21), 10249–10254. https://doi.org/10.1021/ac402018e
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Time-of-flight secondary ion mass spectrometry imaging is a rapidly evolving technology. Its main application is the study of the distribution of small molecules on biological tissues. The sequential image acquisition process remains susceptible to measurement distortions that can render imaging data less analytically useful. Most of these artifacts show a repetitive nature from tile to tile. Here we statistically describe these distortions and derive two different algorithms to correct them. Both, a generalized linear model approach
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- Gerber, Florian
- Marty, Florian
- Eijkel, Gert B
- Brunner, Erich
- Heeren, Ron M A
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Gerber, F., Marty, F., Eijkel, G. B., Basler, K., Brunner, E., Furrer, R., & Heeren, R. M. A. (2013). Multi order correction algorithms to remove image distortions from mass spectrometry imaging datasets. Analytical Chemistry, 85(21), 10249–10254. https://doi.org/10.1021/ac402018e
