Maintenance of Deep Lung Architecture and Automated Airway Segmentation for 3D Mass Spectrometry Imaging

Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry

BACKGROUND Three-dimensional (3D) imaging mass spectrometry (MS) is an analytical chemistry technique for the 3D molecular analysis of a tissue specimen, entire organ, or microbial colonies on an agar plate. 3D-imaging MS has unique advantages over existing 3D imaging techniques, offers novel perspectives for understanding the spatial organization of biological processes, and has growing potent...

Deep Learning for Tumor Classification in Imaging Mass Spectrometry

Motivation Tumor classification using imaging mass spectrometry (IMS) data has a high potential for future applications in pathology. Due to the complexity and size of the data, automated feature extraction and classification steps are required to fully process the data. Since mass spectra exhibit certain structural similarities to image data, deep learning may offer a promising strategy for cl...

A mass spectrometry primer for mass spectrometry imaging.

Mass spectrometry imaging (MSI), a rapidly growing subfield of chemical imaging, employs mass spectrometry (MS) technologies to create single- and multi-dimensional localization maps for a variety of atoms and molecules. Complimentary to other imaging approaches, MSI provides high chemical specificity and broad analyte coverage. This powerful analytical toolset is capable of measuring the distr...

An Architecture for Automated Software Maintenance

We developed an assembly line to implement certain speciic changes in a stockbroking system written in COBOL with embedded SQL. The changes were proposed by the maintenance team of the system. Using our architecture, it took a few hours to implement the conditional transformations from the code examples we obtained from the maintenance team. Then we could carry out the tasks completely automate...

Imaging with mass spectrometry.