Professor Takats has obtained his PhD from Eötvös Loránd University, Budapest, Hungary. He has worked as a post-doctoral research associate at Purdue University, Indiana, USA. After returning to Hungary, he served as Director of Cell Screen Research Centre and also as Head of Newborn Screening and Metabolic Diagnostic Laboratory at Semmelweis University, Budapest.
Professor Takats was awarded the Starting Grant by the European Research Council in 2008 and he subsequently, became a Junior Research Group Leader at Justus Liebig University, Gießen, Germany. He moved to the United Kingdom in 2012 and currently works as a Professor of Analytical Chemistry at Imperial College London.
Professor Takats has pursued pioneering research in mass spectrometry and he is one of the founders of the field of ‘Ambient Mass Spectrometry’. He is the primary inventor of six mass spectrometric ionization techniques and author of 78 peer reviewed publications. He was the recipient of the prestigious Mattauch-Herzog Award of the German Mass Spectrometry Society and the Hungarian Star Award for Outstanding Innovators. He is the founder of Prosolia Inc, Medimass Ltd and Massprom Ltd, all companies pursuing analytical and medical device development.
et al., Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data
et al., 2018, The surgical intelligent knife distinguishes normal, borderline and malignant gynaecological tissues using rapid evaporative ionisation mass spectrometry (REIMS), British Journal of Cancer, Vol:118, ISSN:0007-0920, Pages:1349-1358
Cameron SJS, Takáts Z, 2018, Mass spectrometry approaches to metabolic profiling of microbial communities within the human gastrointestinal tract., Methods
et al., 2018, BASIS: High-performance bioinformatics platform for processing of large-scale mass spectrometry imaging data in chemically augmented histology, Scientific Reports, Vol:8, ISSN:2045-2322
et al., 2018, Rapid mucosal metabolome profiling by desorption electrospray ionization MS (DESI-MS) for prediction of preterm pre-labour rupture of membranes (PPROM), WILEY, Pages:24-24, ISSN:1470-0328