Amy Walker oral presentation (OB3-Thu3-1-5)
Multivariate Analysis of fs-Laser Desorption Ionization MS Images of Pancreatic Tissue
1 University of Illinois at Chicago, Department of Chemistry, MC 111, IL 60607 Chicago, United States
2 University of Chicago, Department of Medicine, IL 60637 Chicago, United States
3 University of Texas at Dallas, 800 W. Campbell Rd, TX 75080 Richardson, United States
Multivariate analysis  is used here to analyze images of femtosecond laser desorption ionization mass spectrometry (fs-LDI-MS) images  of intact slices of human pancreas tissue. The fatty regions of cryomicrotomed slices of human pancreas tissue were imaged by H&E stained fluorescence microscopy. Adjacent tissue slices were treated with LiCl , after which fs-LDI-MS images were recorded with samples under vacuum using <100 fs, 800 nm laser pulses. Multivariate analysis of the MS data using a two-component model resulted in plausible separation of lipid and non-lipid regions: one component overlapped spatially with the fluorescence image (Figure 1), and the other appeared to match the outlying non-lipid component.
 L.D. Gelb, T. Milillo, A.V. Walker, Surf. Interf. Anal. 45, 2013, 479.
 Y. Cui, I.V. Veryovkin, M.W. Majeski, D.R. Cavazos, L. Hanley, Anal. Chem. 87, 2015, 367 and references therein.
 R.L. Griffiths, J. Sarsby, E.J. Guggenheim, A.M. Race, R.T. Steven, J. Fear, P.F. Lalor, J. Bunch, Anal. Chem. 85, 2013, 7146.