| Denoising of stimulated Raman scattering microscopy images via deep learning B Manifold, E Thomas, AT Francis, AH Hill, D Fu Biomedical optics express 10 (8), 3860-3874, 2019 | 121 | 2019 |
| A versatile deep learning architecture for classification and label-free prediction of hyperspectral images B Manifold, S Men, R Hu, D Fu Nature machine intelligence 3 (4), 306-315, 2021 | 115 | 2021 |
| Broadband hyperspectral stimulated Raman scattering microscopy with a parabolic fiber amplifier source B Figueroa, W Fu, T Nguyen, K Shin, B Manifold, F Wise, D Fu Biomedical optics express 9 (12), 6116-6131, 2018 | 63 | 2018 |
| Tissue imaging depth limit of stimulated Raman scattering microscopy AH Hill, B Manifold, D Fu Biomedical optics express 11 (2), 762-774, 2020 | 44 | 2020 |
| Quantitative stimulated Raman scattering microscopy: promises and pitfalls B Manifold, D Fu Annual Review of Analytical Chemistry 15 (1), 269-289, 2022 | 32 | 2022 |
| Frequency modulation stimulated Raman scattering microscopy through polarization encoding AH Hill, E Munger, AT Francis, B Manifold, D Fu The Journal of Physical Chemistry B 123 (40), 8397-8404, 2019 | 28 | 2019 |
| Conformational heterogeneity and the affinity of substrate molecular recognition by cytochrome P450cam EJ Basom, BA Manifold, MC Thielges Biochemistry 56 (25), 3248-3256, 2017 | 25 | 2017 |
| In vivo simultaneous nonlinear absorption Raman and fluorescence (SNARF) imaging of mouse brain cortical structures AT Francis, B Manifold, EC Carlson, R Hu, AH Hill, S Men, D Fu Communications Biology 5 (1), 222, 2022 | 12* | 2022 |
| Hyperspectral SRS imaging via spectral focusing B Manifold, B Figueroa, D Fu Stimulated Raman Scattering Microscopy, 69-79, 2022 | 2 | 2022 |
| A versatile deep learning architecture for classification and label-free prediction of hyperspectral images. Nature Machine Intelligence 3, 306–315 (2021) B Manifold, S Men, R Hu, D Fu Science Advances 7, 0 | 2 | |
| Measuring chemical changes during aging in vivo with stimulated Raman scattering microscopy B Manifold, B Yang, D Titov, A Streets Biomedical Spectroscopy, Microscopy, and Imaging III, PC1300603, 2024 | | 2024 |
| Imaging intracellular neurotransmitters with vibrational microscopy using isotopologues GF Dorlhiac, B Manifold, M Landry, A Streets Neurophotonics II, PC1300705, 2024 | | 2024 |
| Measuring chemical changes during aging in vivo with label-free stimulated Raman scattering microscopy B Manifold, B Yang, D Titov, A Streets Advanced Chemical Microscopy for Life Science and Translational Medicine …, 2024 | | 2024 |
| Label-free classification of T-cell differentiation via deep learning of hyperspectral stimulated Raman scattering microscopy images B Manifold, R Hu, E Clark, HY Kueh, D Fu Biomedical Spectroscopy, Microscopy, and Imaging II 12144, 24-28, 2022 | | 2022 |
| Imaging neurotransmitter transport in live cells with stimulated Raman scattering microscopy B Manifold, GF Dorlhiac, MP Landry, A Streets arXiv e-prints, arXiv: 2205.05798, 2022 | | 2022 |
| Label-free multiphoton characterization of mouse brain cortical structures AT Francis, B Manifold, EC Carlson, R Hu, AH Hill, S Men, D Fu Advanced Chemical Microscopy for Life Science and Translational Medicine …, 2022 | | 2022 |
| Deep learning for analysis of hyperspectral stimulated Raman scattering images B Manifold, D Fu Advanced Chemical Microscopy for Life Science and Translational Medicine …, 2022 | | 2022 |
| Advances in Stimulated Raman Scattering Microscopy via Deep Learning BA Manifold University of Washington, 2022 | | 2022 |
| Denoising of stimulated Raman scattering microscopy images via deep learning (Conference Presentation) B Manifold Advanced Chemical Microscopy for Life Science and Translational Medicine …, 2020 | | 2020 |
| Broadband hyperspectral stimulated Raman scattering microscopy with a parabolic fiber amplifier source B Figueroa, W Fu, T Nguyen, K Shin, B Manifold, F Wise, D Fu Novel Techniques in Microscopy, NT1C. 3, 2019 | | 2019 |
Dan FuUniversity of Washington在 uw.edu 的电子邮件经过验证
Dan FuUniversity of Washington在 uw.edu 的电子邮件经过验证