Zoltan Takats

发表

SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data

Robert C. Glen, Paolo Inglese, Gonçalo Correia, 2018, Bioinform..

BASIS: High-performance bioinformatics platform for processing of large-scale mass spectrometry imaging data in chemically augmented histology

Dieter Galea, Ivan Laponogov, Kirill Veselkov, 2018, Scientific Reports.

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

Franziska Hoffmann, Orlando Guntinas-Lichius, Kirill Veselkov, 2015, GigaScience.

Training a neural network to learn other dimensionality reduction removes data size restrictions in bioinformatics and provides a new route to exploring data representations

Spencer A. Thomas, Teresa Murta, Andrew D. Campbell, 2020, bioRxiv.

A Critical and Concise Review of Mass Spectrometry Applied to Imaging in Drug Discovery

Zoltan Takats, Josephine Bunch, Richard J A Goodwin, 2020, SLAS discovery : advancing life sciences R & D.

Translational utility of a hierarchical classification strategy in biomolecular data analytics

Dieter Galea, Ivan Laponogov, Paolo Inglese, 2017, Scientific Reports.

Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data pdf

Robert C. Glen, Paolo Inglese, Zoltan Takats, 2017, ArXiv.

A Bi-directional Hierarchical Clustering (BHC) for Peak Matching of Large Mass Spectrometry Data Sets

Zoltan Takats, Xian Yang, Yike Guo, 2021, International Journal of Machine Learning and Computing.

Intraoperative tissue identification by mass spectrometric technologies

Ara Darzi, Zoltan Takats, A. Darzi, 2016 .

Characterization and identification of clinically relevant microorganisms using rapid evaporative ionization mass spectrometry.

Zoltan Takats, Kirill A Veselkov, Nicole Strittmatter, 2014, Analytical chemistry.

Identifying the margin: a new method to distinguish between cancerous and noncancerous tissue during surgery.

Zoltan Takats, James Kinross, J. Kinross, 2012, Future oncology.

Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c6sc03738k Click here for additional data file. Click here for additional data file. Click here for additional data file.

Kirill Veselkov, Paolo Inglese, Zoltan Takats, 2017, Chemical science.

Metabolic phenotyping in clinical and surgical environments

Ara W. Darzi, John C. Lindon, Zoltan Takats, 2012, Nature.

Clinical validation of cutoff target ranges in newborn screening of metabolic disorders by tandem mass spectrometry: A worldwide collaborative project

Gary L Hoffman, Alicia Roberts, Stephen M Downs, 2011, Genetics in Medicine.

Detection Technologies. Ambient mass spectrometry.

Zheng Ouyang, Zoltan Takats, R. Cooks, 2006, Science.

Faster, More Reproducible DESI-MS for Biological Tissue Imaging

Kirill Veselkov, Zoltan Takats, Emrys A. Jones, 2017, Journal of the American Society for Mass Spectrometry.

Histology by mass spectrometry: label-free tissue characterization obtained from high-accuracy bioanalytical imaging.

Zoltan Takats, Bernhard Spengler, Wolfgang Kummer, 2010, Angewandte Chemie.

Repeatability and reproducibility of desorption electrospray ionization-mass spectrometry (DESI-MS) for the imaging analysis of human cancer tissue: a gateway for clinical applications

Kirill Veselkov, Zoltan Takats, Hiromi Kudo, 2015 .

Chemo-informatic strategy for imaging mass spectrometry-based hyperspectral profiling of lipid signatures in colorectal cancer

Ara Darzi, Reza Mirnezami, Zoltan Takats, 2014, Proceedings of the National Academy of Sciences.

Mass spectrometry imaging with high resolution in mass and space (HR2 MSI) for reliable investigation of drug compound distributions on the cellular level

Zoltan Takats, Bernhard Spengler, Andreas Römpp, 2011, Analytical and bioanalytical chemistry.

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

Franziska Hoffmann, Orlando Guntinas-Lichius, Michael Becker, 2015 .

Epithelial ovarian carcinoma diagnosis by desorption electrospray ionization mass spectrometry imaging

Francesca Rosini, Kirill Veselkov, Zoltan Takats, 2016, Scientific Reports.

A novel methodology for in vivo endoscopic phenotyping of colorectal cancer based on real-time analysis of the mucosal lipidome: a prospective observational study of the iKnife

Ara Darzi, Kirill Veselkov, Zoltan Takats, 2016, Surgical Endoscopy.

91 Mass Spectrometry Imaging (MSI) of Microbiome-Metabolome Interactions in Colorectal Cancer

Kirill Veselkov, Zoltan Takats, James Kinross, 2016 .

Identification of the Species of Origin for Meat Products by Rapid Evaporative Ionization Mass Spectrometry.

Zoltan Takats, Sara Stead, Olivier P Chevallier, 2016, Journal of agricultural and food chemistry.

Rapid evaporative ionization mass spectrometry for high-throughput screening in food analysis: The case of boar taint.

Sarah De Saeger, Christof Van Poucke, Lynn Vanhaecke, 2017, Talanta.

In vivo endoscopic tissue identification by rapid evaporative ionization mass spectrometry (REIMS).

Zoltan Takats, Jeremy K Nicholson, George B Hanna, 2015, Angewandte Chemie.

d 3 D-DESI imaging reveal the hidden metabolic heterogeneity of cancer †

Robert C. Glen, Kirill Veselkov, Paolo Inglese, 2017 .

Diagnostic Accuracy of Intraoperative Techniques for Margin Assessment in Breast Cancer Surgery: A Meta-analysis

Ara Darzi, Thanos Athanasiou, Hutan Ashrafian, 2017, Annals of surgery.

Identification of biological tissues by rapid evaporative ionization mass spectrometry.

Zoltan Takats, Antal Lopata, Lajos Balogh, 2010, Analytical chemistry.

Real-Time Molecular Diagnosis of Tumors Using Water-Assisted Laser Desorption/Ionization Mass Spectrometry Technology.

Zoltan Takats, Philippe Saudemont, Michel Salzet, 2018, Cancer cell.

Probing Cellular Chemistry in Biological Systems with

Zoltan Takats, Richard M. Caprioli, Satu M. Puolitaival, 2006 .