posted on 2018-09-06, 00:00authored byElizabeth
K. Neumann, Troy J. Comi, Nicolas Spegazzini, Jennifer W. Mitchell, Stanislav S. Rubakhin, Martha U. Gillette, Rohit Bhargava, Jonathan V. Sweedler
The
brain functions through chemical interactions between many
different cell types, including neurons and glia. Acquiring comprehensive
information on complex, heterogeneous systems requires multiple analytical
tools, each of which have unique chemical specificity and spatial
resolution. Multimodal imaging generates complementary chemical information
via spatially localized molecular maps, ideally from the same sample,
but requires method enhancements that span from data acquisition to
interpretation. We devised a protocol for performing matrix-assisted
laser desorption/ionization (MALDI)-Fourier transform ion cyclotron
resonance-mass spectrometry imaging (MSI), followed by infrared (IR)
spectroscopic imaging on the same specimen. Multimodal measurements
from the same tissue provide precise spatial alignment between modalities,
enabling more advanced image processing such as image fusion and sharpening.
Performing MSI first produces higher quality data from each technique
compared to performing IR imaging before MSI. The difference is likely
due to fixing the tissue section during MALDI matrix removal, thereby
preventing analyte degradation occurring during IR imaging from an
unfixed specimen. Leveraging the unique capabilities of each modality,
we utilized pan sharpening of MS (mass spectrometry) ion images with
selected bands from IR spectroscopy and midlevel data fusion. In comparison
to sharpening with histological images, pan sharpening can employ
a plethora of IR bands, producing sharpened MS images while retaining
the fidelity of the initial ion images. Using Laplacian pyramid sharpening,
we determine the localization of several lipids present within the
hippocampus with high mass accuracy at 5 μm pixel widths. Further,
through midlevel data fusion of the imaging data sets combined with k-means clustering, the combined data set discriminates
between additional anatomical structures unrecognized by the individual
imaging approaches. Significant differences between molecular ion
abundances are detected between relevant structures within the hippocampus,
such as the CA1 and CA3 regions. Our methodology provides high quality
multiplex and multimodal chemical imaging of the same tissue sample,
enabling more advanced data processing and analysis routines.