Surface-enhanced Raman spectroscopy and microfluidic platforms: challenges, solutions and potential applications von Jahn, I. J, ukovskaja, O, Zheng, X.-S, Weber, K, Bocklitz, T. W, Cialla-May, D, Popp, J

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Spectrometer calibration protocol for Raman spectra recorded with different excitation wavelengths von Bocklitz, T.W., Dörfer, T., Heinke, R., Schmitt, M., Popp, J.

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Deeper Understanding of Biological Tissue: Quantitative Correlation of MALDI-TOF and Raman Imaging von Bocklitz, T. W, Crecelius, A. C, Matthäus, C, Tarcea, N, von Eggeling, F, Schmitt, M, Schubert, U. S, Popp, J

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Seamless stitching of tile scan microscope images von LEGESSE, F.B., CHERNAVSKAIA, O., HEUKE, S., BOCKLITZ, T., MEYER, T., POPP, J., HEINTZMANN, R.

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Towards detection and identification of circulating tumour cells using Raman spectroscopy von NEUGEBAUER, U, BOCKLITZ, T, CLEMENT, J. H, KRAFFT, C, POPP, J

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Two-dimensional Raman correlation spectroscopy reveals molecular structural changes during temperature-induced self-healing in polymers based on the Diels-Alder reaction von Geitner, R, Kötteritzsch, J, Siegmann, M, Bocklitz, T W, Hager, M D, Schubert, U S, Gräfe, S, Dietzek, B, Schmitt, M, Popp, J

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Deep learning a boon for biophotonics? von Pradhan, Pranita, Guo, Shuxia, Ryabchykov, Oleg, Popp, Juergen, Bocklitz, Thomas W.

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Raman Spectroscopy to Characterize Bladder Tissue for Multidimensional Diagnostics of Cancer in Urology von Krafft, C., Guo, S., Bocklitz, T., Popp, J., Bronsert, P., Miernik, A.

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Enhancing prediction stability and performance in LIBS analysis using custom CNN architectures von Dehbozorgi, Pegah, Duponchel, Ludovic, Motto-Ros, Vincent, Bocklitz, Thomas W.

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Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling von Guo, Shuxia, Popp, Jürgen, Bocklitz, Thomas

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Confocal Raman imaging of skin sections containing hair follicles using classical least squares regression and multivariate curve resolution - alternating least squares von Schleusener, J., Carrer, V., Patzelt, A., Guo, S., Bocklitz, T., Coderch, L., Lademann, J., Darvin, M.E.

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Molecular self-healing mechanisms between C60-fullerene and anthracene unveiled by Raman and two-dimensional correlation spectroscopy von Geitner, R, Kötteritzsch, J, Siegmann, M, Fritzsch, R, Bocklitz, T W, Hager, M D, Schubert, U S, Gräfe, S, Dietzek, B, Schmitt, M, Popp, J

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First results of computer-enhanced optical diagnosis of bladder cancer von Wittenberg, T., Hackner, R., Bocklitz, T., Krafft, C., Becker, W., Braun, L., Pohlmann, P., Miernik, A., Suarez-Ibarrola, R., Lemke, M. N.

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A Review on Data Fusion of Multidimensional Medical and Biomedical Data von Azam, Kazi Sultana Farhana, Ryabchykov, Oleg, Bocklitz, Thomas

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Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning von Mokari, Azadeh, Guo, Shuxia, Bocklitz, Thomas

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Explainable artificial intelligence for spectroscopy data: a review von Contreras, Jhonatan, Bocklitz, Thomas

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Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data von Houhou, Rola, Bocklitz, Thomas

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Deep Learning for Raman Spectroscopy: A Review von Luo, Ruihao, Popp, Juergen, Bocklitz, Thomas

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Enhancing decision confidence in AI using Monte Carlo dropout for Raman spectra classification von Contreras, Jhonatan, Bocklitz, Thomas

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Deep learning as phase retrieval tool for CARS spectra von Houhou, Rola, Barman, Parijat, Schmitt, Micheal, Meyer, Tobias, Popp, Juergen, Bocklitz, Thomas

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