Abstract

ESTRADA DOMECH, Guillermo; GOMEZ PEREZ, José A.  and  HERNANDEZ MENDEZ, Adrián A.. Pre-processing methodology of acquired data by MALDI-MSI in tissue samples. RCIM [online]. 2014, vol.6, n.1, pp. 34-47. ISSN 1684-1859.

At last decade, MALDI Mass Spectrometry Imaging (MALDI-MSI) has demostrated being a powerful tool in proteomics field. Because of high dimensionality of the acquired datasets in MALDI-MSI experiments and the inherent variabilities to the acquisition process, present in them, it´s necessary carry out a pre-processing stage, which reduces these distortions. This paper proposes a processing methodology of data MALDI-MSI supported in applications developed in MATLAB, Qt4 Library, as well as the visualization tool Datacube Explorer. Among the results obtained, it can be highlighted the changes in the intensities of the pixels of the reconstructed images after introducing noise, as well as the increasing of Signal-Noise Ratio after applying the denoising methods Kaiser, Savitzky-Golay and "sliding average", highlighting Kaiser over the other techniques, which can be interpreted as a decreasing of the distortion levels in each pixel´s spectrum. The reconstruction of example image and its visualization with Datacube Explorer tool were satisfactory.

Keywords : spectra; imaging; mass spectrometry; MALDI; pre-processing.

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