Peter Lasch

MicrobeMS is a MATLAB toolbox for microbial identification using MALDI-ToF MS, enabling database compilation, spectrum analysis, and identification tasks.

This study evaluates proteomics for rapid detection of antibiotic resistance and species identification of ESKAPE pathogens from clinical isolates, achieving high specificity and sensitivity.

The paper optimizes data-independent acquisition (DIA) proteomics by combining in silico libraries, advanced separation, and neural network analysis to achieve high coverage and accuracy.

The paper introduces a detergent-free proteomics sample preparation method called SPEED, which outperforms existing protocols in protein quantification and reproducibility.