ArticleThe Journal of chemical physics2021
Toward photoswitchable electronic pre-resonance stimulated Raman probes.
Article in The Journal of chemical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Recent advancements in molecular photoacoustic tomography.JPhys photonics · 2025Review
- Quantum theory of stimulated Raman scattering microscopy.Chemical physics reviews · 2025Review
- Advances in Super-resolution Stimulated Raman Scattering Microscopy.Chemical & biomedical imaging · 2024Review
- Biomedical applications, perspectives and tag design concepts in the cell - silent Raman window.RSC chemical biology · 2024Review
- Non-destructive real-time monitoring and investigation of the self-assembly process using fluorescent probes.Chemical science · 2024Review
- Super-resolution vibrational imaging based on photoswitchable Raman probe.Science advances · 2023Article
- Computational Design of Molecular Probes for Electronic Preresonance Raman Scattering Microscopy.The journal of physical chemistry. B · 2023Article
- Toward the Next Frontiers of Vibrational Bioimaging.Chemical & biomedical imaging · 2023Review
- Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases.International journal of molecular sciences · 2023Review
- Miniaturized Chemical Tags for Optical Imaging.Angewandte Chemie (International ed. in English) · 2022Review
- Bringing Vibrational Imaging to Chemical Biology with Molecular Probes.ACS chemical biology · 2022Article
- Label-Free Super-Resolution Imaging Techniques.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022Review
- Super-multiplexed vibrational probes: Being colorful makes a difference.Current opinion in chemical biology · 2022Review
- A decade of alkyne-tag Raman imaging (ATRI): applications in biological systems.RSC chemical biology · 2021Review
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Authors and funding
10 authors.
Funding
Abstract
Reversibly photoswitchable probes allow for a wide variety of optical imaging applications. In particular, photoswitchable fluorescent probes have significantly facilitated the development of super-resolution microscopy. Recently, stimulated Raman scattering (SRS) imaging, a sensitive and chemical-specific optical microscopy, has proven to be a powerful live-cell imaging strategy. Driven by the advances of newly developed Raman probes, in particular the pre-resonance enhanced narrow-band vibrational probes, electronic pre-resonance SRS (epr-SRS) has achieved super-multiplex imaging with sensitivity down to 250 nM and multiplexity up to 24 colors. However, despite the high demand, photoswitchable Raman probes have yet to be developed. Here, we propose a general strategy for devising photoswitchable epr-SRS probes. Toward this goal, we exploit the molecular electronic and vibrational coupling, in which we switch the electronic states of the molecules to four different states to turn their ground-state epr-SRS signals on and off. First, we showed that inducing transitions to both the electronic excited state and triplet state can effectively diminish the SRS peaks. Second, we revealed that the epr-SRS signals can be effectively switched off in red-absorbing organic molecules through light-facilitated transitions to a reduced state. Third, we identified that photoswitchable proteins with near-infrared photoswitchable absorbance, whose states are modulable with their electronic resonances detunable toward and away from the pump photon energy, can function as the photoswitchable epr-SRS probes with desirable sensitivity (<1 µM) and low photofatigue (>40 cycles). These photophysical characterizations and proof-of-concept demonstrations should advance the development of novel photoswitchable Raman probes and open up the unexplored Raman imaging capabilities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.