2021
DOI: 10.1021/acs.analchem.1c04483
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Diagnostics and Therapy Assessment Using Label-Free Raman Imaging

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Cited by 22 publications
(22 citation statements)
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References 180 publications
(397 reference statements)
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“…43 Interestingly, machine-learning approaches are also becoming increasingly important to help analyze Raman spectral data in such methods. 44 Functional imaging is also a current important field of research for label-free imaging. In 2010, a pioneer work has been performed showing that ion fluxes can be monitored with digital holography, the signal being carried by the change in refractive index due to osmotic equilibrium.…”
Section: Complex Sample At the Core Of The Image And Ensuring Quantit...mentioning
confidence: 99%
See 1 more Smart Citation
“…43 Interestingly, machine-learning approaches are also becoming increasingly important to help analyze Raman spectral data in such methods. 44 Functional imaging is also a current important field of research for label-free imaging. In 2010, a pioneer work has been performed showing that ion fluxes can be monitored with digital holography, the signal being carried by the change in refractive index due to osmotic equilibrium.…”
Section: Complex Sample At the Core Of The Image And Ensuring Quantit...mentioning
confidence: 99%
“…Although penalized by weak signals, low readout speed, and thorough signal processing, this fascinating field of research, from spontaneous Raman scattering to stimulated Raman spectroscopy, is attracting highly deserved attention for bioimaging with application in biomedicine, for example, for cancer and drug characterization . Interestingly, machine-learning approaches are also becoming increasingly important to help analyze Raman spectral data in such methods …”
Section: Some Next Challenges: Placing the Complex Sample At The Core...mentioning
confidence: 99%
“…To overcome this hurdle, Resonance Raman (RR), Surface-Enhanced Raman Spectroscopy (SERS), and Coherent Raman spectroscopy (CRS) were developed. Scientists have mostly adopted SERS in nanomedicine due to its signal enhancement in the presence of rough surface nanomaterials such as Au, Ag, and Cu in the sample system [ 134 ].…”
Section: Graphene Nanocomposite Theranostics For Multimodal Imaging G...mentioning
confidence: 99%
“…Despite the power of targeted spatial proteomics methods, they are limited by the costly and laborious process of the development and validation of affinity reagents . Furthermore, antibody-based imaging techniques have limited capabilities for targeting post-translational modifications (PTMs). , Label-free approaches have attracted considerable attention in studies focused on the untargeted protein imaging including the discovery of disease biomarkers and understanding of complex biochemical pathways associated with health and disease. Raman spectroscopy imaging is a well-established noninvasive label-free imaging modality, which has been widely used for imaging of living cells with subcellular spatial resolution. , Although Raman spectra of individual proteins contain characteristic features in the fingerprint region, substantial spectral overlap presents a challenge to the identification of protein signals observed in imaging experiments. ,, …”
Section: Introductionmentioning
confidence: 99%