| Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling S Guo, J Popp, T Bocklitz Nature protocols 16 (12), 5426-5459, 2021 | 120 | 2021 |
| Raman based molecular imaging and analytics: a magic bullet for biomedical applications!? TW Bocklitz, S Guo, O Ryabchykov, N Vogler, J Popp Analytical chemistry 88 (1), 133-151, 2016 | 103 | 2016 |
| Optimization of Raman-spectrum baseline correction in biological application S Guo, T Bocklitz, J Popp Analyst 141 (8), 2396-2404, 2016 | 93 | 2016 |
| Common mistakes in cross-validating classification models S Guo, T Bocklitz, U Neugebauer, J Popp Analytical Methods 9 (30), 4410-4417, 2017 | 79 | 2017 |
| Deep learning a boon for biophotonics? P Pradhan, S Guo, O Ryabchykov, J Popp, TW Bocklitz Journal of biophotonics 13 (6), e201960186, 2020 | 75 | 2020 |
| Comparability of Raman spectroscopic configurations: a large scale cross-laboratory study S Guo, C Beleites, U Neugebauer, S Abalde-Cela, NK Afseth, F Alsamad, ... Analytical chemistry 92 (24), 15745-15756, 2020 | 56 | 2020 |
| Analyzing Raman spectroscopic data O Ryabchykov, S Guo, T Bocklitz Physical Sciences Reviews 4 (2), 20170043, 2019 | 50 | 2019 |
| Modified PCA and PLS: Towards a better classification in Raman spectroscopy–based biological applications S Guo, P Rösch, J Popp, T Bocklitz Journal of Chemometrics 34 (4), e3202, 2020 | 49 | 2020 |
| Demonstration of carbon catabolite repression in naphthalene degrading soil bacteria via Raman spectroscopy based stable isotope probing V Kumar BN, S Guo, T Bocklitz, P Rösch, J Popp Analytical chemistry 88 (15), 7574-7582, 2016 | 43 | 2016 |
| Towards an improvement of model transferability for Raman spectroscopy in biological applications S Guo, R Heinke, S Stöckel, P Rösch, T Bocklitz, J Popp Vibrational Spectroscopy 91, 111-118, 2017 | 36 | 2017 |
| Extended multiplicative signal correction based model transfer for Raman spectroscopy in biological applications S Guo, A Kohler, B Zimmermann, R Heinke, S Stöckel, P Rösch, ... Analytical chemistry 90 (16), 9787-9795, 2018 | 34 | 2018 |
| Model transfer for Raman‐spectroscopy‐based bacterial classification S Guo, R Heinke, S Stöckel, P Rösch, J Popp, T Bocklitz Journal of Raman Spectroscopy 49 (4), 627-637, 2018 | 31 | 2018 |
| Deep learning for ‘artefact’removal in infrared spectroscopy S Guo, T Mayerhöfer, S Pahlow, U Hübner, J Popp, T Bocklitz Analyst 145 (15), 5213-5220, 2020 | 30 | 2020 |
| Spatiotemporal organization of biofilm matrix revealed by confocal Raman mapping integrated with non-negative matrix factorization analysis XY Liu, S Guo, A Ramoji, T Bocklitz, P Rösch, J Popp, HQ Yu Analytical chemistry 92 (1), 707-715, 2019 | 26 | 2019 |
| Monitoring deuterium uptake in single bacterial cells via two-dimensional Raman correlation spectroscopy G Azemtsop Matanfack, M Taubert, S Guo, T Bocklitz, K Küsel, ... Analytical chemistry 93 (21), 7714-7723, 2021 | 24 | 2021 |
| Influence of carbon sources on quantification of deuterium incorporation in heterotrophic bacteria: a Raman-stable isotope labeling approach GA Matanfack, M Taubert, S Guo, R Houhou, T Bocklitz, K Küsel, ... Analytical chemistry 92 (16), 11429-11437, 2020 | 23 | 2020 |
| Spectral reconstruction for shifted-excitation Raman difference spectroscopy (SERDS) S Guo, O Chernavskaia, J Popp, T Bocklitz Talanta 186, 372-380, 2018 | 20 | 2018 |
| Correction of mosaicking artifacts in multimodal images caused by uneven illumination O Chernavskaia, S Guo, T Meyer, N Vogler, D Akimov, S Heuke, ... Journal of Chemometrics 31 (6), e2901, 2017 | 19 | 2017 |
| Nondestructive 3D imaging and quantification of hydrated biofilm matrix by confocal Raman microscopy coupled with non-negative matrix factorization XY Liu, S Guo, T Bocklitz, P Rösch, J Popp, HQ Yu Water Research 210, 117973, 2022 | 18 | 2022 |
| Multimodal image analysis in tissue diagnostics for skin melanoma S Guo, S Pfeifenbring, T Meyer, G Ernst, F von Eggeling, V Maio, D Massi, ... Journal of Chemometrics 32 (1), e2963, 2018 | 17 | 2018 |
