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Thomas Bocklitz

Showing results (81-90 of 134) with videos related to

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Physical Chemistry Chemical Physics : PCCP|February 8, 2020
Fluorescence upconversion by triplet-triplet annihilation in all-organic poly(methacrylate)-terpolymersMaria Sittig, Benny Schmidt, Helmar Görls, et al.
Journal of Structural Biology|September 9, 2014
Single virus detection by means of atomic force microscopy in combination with advanced image analysisThomas Bocklitz, Evelyn Kämmer, Stephan Stöckel, et al.
Scientific Reports|April 12, 2016
Single cell analysis in native tissue: Quantification of the retinoid content of hepatic stellate cellsKerstin Galler, Robert Pascal Requardt, Uwe Glaser, et al.
Analytical Chemistry|July 23, 2020
Influence of Carbon Sources on Quantification of Deuterium Incorporation in Heterotrophic Bacteria: A Raman-Stable Isotope Labeling ApproachGeorgette Azemtsop Matanfack, Martin Taubert, Shuxia Guo, et al.
The Analyst|May 28, 2026
Current trends in machine learning for surface-enhanced Raman spectroscopyRuihao Luo, Sujia Jiao, Jyothi B Nair, et al.
Analytical Chemistry|November 18, 2025
ATR-FTIR Spectroscopy of Saliva and Machine Learning as a Screening Test for Sjögren DiseaseJhonatan Contreras, Bhavik Vyas, Oleg Ryabchykov, et al.
Biomedical Optics Express|July 27, 2023
Comparison of denoising tools for the reconstruction of nonlinear multimodal imagesRola Houhou, Elsie Quansah, Tobias Meyer-Zedler, et al.
Ultraschall in Der Medizin (Stuttgart, Germany : 1980)|March 31, 2023
Artificial intelligence for the classification of focal liver lesions in ultrasound - a systematic reviewMarcel Vetter, Maximilian J Waldner, Sebastian Zundler, et al.
Head & Neck|December 15, 2018
Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot studyErik Rodner, Thomas Bocklitz, Ferdinand von Eggeling, et al.
Journal of Biomedical Optics|January 8, 2021
FLIM data analysis based on Laguerre polynomial decomposition and machine-learningShuxia Guo, Anja Silge, Hyeonsoo Bae, et al.
Pageof 14

Showing results (81-90 of 134) with videos related to

Sort By:
Pageof 14
Physical Chemistry Chemical Physics : PCCP|February 8, 2020
Fluorescence upconversion by triplet-triplet annihilation in all-organic poly(methacrylate)-terpolymersMaria Sittig, Benny Schmidt, Helmar Görls, et al.
Journal of Structural Biology|September 9, 2014
Single virus detection by means of atomic force microscopy in combination with advanced image analysisThomas Bocklitz, Evelyn Kämmer, Stephan Stöckel, et al.
Scientific Reports|April 12, 2016
Single cell analysis in native tissue: Quantification of the retinoid content of hepatic stellate cellsKerstin Galler, Robert Pascal Requardt, Uwe Glaser, et al.
Analytical Chemistry|July 23, 2020
Influence of Carbon Sources on Quantification of Deuterium Incorporation in Heterotrophic Bacteria: A Raman-Stable Isotope Labeling ApproachGeorgette Azemtsop Matanfack, Martin Taubert, Shuxia Guo, et al.
The Analyst|May 28, 2026
Current trends in machine learning for surface-enhanced Raman spectroscopyRuihao Luo, Sujia Jiao, Jyothi B Nair, et al.
Analytical Chemistry|November 18, 2025
ATR-FTIR Spectroscopy of Saliva and Machine Learning as a Screening Test for Sjögren DiseaseJhonatan Contreras, Bhavik Vyas, Oleg Ryabchykov, et al.
Biomedical Optics Express|July 27, 2023
Comparison of denoising tools for the reconstruction of nonlinear multimodal imagesRola Houhou, Elsie Quansah, Tobias Meyer-Zedler, et al.
Ultraschall in Der Medizin (Stuttgart, Germany : 1980)|March 31, 2023
Artificial intelligence for the classification of focal liver lesions in ultrasound - a systematic reviewMarcel Vetter, Maximilian J Waldner, Sebastian Zundler, et al.
Head & Neck|December 15, 2018
Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot studyErik Rodner, Thomas Bocklitz, Ferdinand von Eggeling, et al.
Journal of Biomedical Optics|January 8, 2021
FLIM data analysis based on Laguerre polynomial decomposition and machine-learningShuxia Guo, Anja Silge, Hyeonsoo Bae, et al.
Pageof 14