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Presentation Information     2018-05-21 (13:15)   •  4307

Speaker Patrik Källback and Per Andrén  (CBA)
Comment Department of Pharmaceutical Biosciences, UU
Type External presentation
Title Mass spectrometry imaging – from drug discovery to neuroscience
Abstract Mass spectrometry imaging – from drug discovery to neuroscience Mass spectrometry imaging (MSI) is an in vitro technology for visualizing and quantitating the distribution of chemical species within tissue samples. It has rapidly found diverse applications in both industrial and academic pharmaceutical research, neuroscience, oncology and pathology. The speed, sensitivity, and molecular specificity of modern mass spectrometers enable the direct simultaneous imaging of molecules such as drugs, their metabolites, and endogenous biomolecules in tissue sections and specific tissue microstructures at near-cellular spatial resolutions. MSI can image and quantitate analytes without requiring the use of target-specific molecular labeling reagents. Furthermore, MSI is capable of detecting phenotypic changes, which may provide new insights into the molecular biology of diseases and their treatments. MSI is a useful experimental method with diverse applications such as drug discovery and neuroscience. msIQuant − Quantitation Software for Mass Spectrometry Imaging Enabling Fast Access, Visualization, and Analysis of Large Data Sets The msIQuant is a novel instrument- and manufacturer-independent MSI software suite, by the implementation of the open-access data format imzML, and has been developed specifically for quantitative analysis of MSI data. The functionality of msIQuant facilitates automatic generation of calibration curves from series of standards that can be used to determine concentrations of specific analytes. In addition, it provides many tools for image visualization, including modules enabling multiple interpolation, low intensity transparency display, and image fusion and sharpening. Algorithms and advanced data management modules in msIQuant facilitate management of large datasets generated following rapid recent increases in the mass and spatial resolutions of MSI instruments, by using spectra transposition and data entropy reduction before lossless compression of the data. Implementation of msIQuant has been exemplified in both quantitative (relative or absolute) and qualitative analyses of distributions of neurotransmitters, endogenous substances and pharmaceutical drugs in brain tissue sections.