Molecular analysis of tissue samples plays an important role in understanding basic functionality of organisms and detecting abnormality. Acquiring comprehensive information on heterogeneous and complex biological systems with unique chemical specificity and high spatial resolution provides a powerful tool for early-stage disease detection and monitoring. However, MALDI mass spectrometry imaging of whole tissue sections at high spatial resolution (≤10 μm pixel size) requires extensive acquisition time. Here, Bruker’s proposed end-to-end workflow for quantum cascade laser (QCL) based infrared (IR) guided MALDI imaging was employed to obtain deep molecular information on various tissue samples. MALDI imaging is more sensitive and provides deeper molecular information than IR based imaging, but QCL-IR based imaging is much faster. QCL-IR imaging is therefore used as a screening tool for disease detection, where if disease is detected, then the more time-consuming MALDI imaging can target only the region of the tissue section in question. Examples presented include a proof-of-concept mouse brain sample and a practical multistage pancreatic cancer tissue sample. This approach facilitates region of interest (ROI) selection and significantly increases sample throughput – thereby enabling large-scale MALDI imaging studies in cancer research.
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