ArticleNature methods2025
Vibrational fiber photometry: label-free and reporter-free minimally invasive Raman spectroscopy deep in the mouse brain.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Localized Temperature Monitoring in Mouse Brain during Light Delivery via a Non-Planar Tapered Fiber-Integrated µRTD Sensor.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- In vivo multimodal neurochemical interfaces for real-time decoding of brain circuit.Nature reviews. Neuroscience · 2026Review
- Direct Nucleation of Hierarchical Nanostructures on Plasmonic Fiber Optics Enables Enhanced SERS Performance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Recent Advances in Flexible Sensors for Neural Interfaces: Multimodal Sensing, Signal Integration, and Closed-Loop Feedback.Biosensors · 2025Review
- Depth-resolved fiber photometry of amyloid plaque signals in freely behaving Alzheimer's disease mice.Neurophotonics · 2025Article
- Recent Advances in Food Safety: Nanostructure-Sensitized Surface-Enhanced Raman Sensing.Foods (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
Optical approaches to monitor neural activity are transforming neuroscience, owing to a fast-evolving palette of genetically encoded molecular reporters. However, the field still requires robust and label-free technologies to monitor the multifaceted biomolecular changes accompanying brain development, aging or disease. Here, we have developed vibrational fiber photometry as a low-invasive method for label-free monitoring of the biomolecular content of arbitrarily deep regions of the mouse brain in vivo through spontaneous Raman spectroscopy. Using a tapered fiber probe as thin as 1 µm at its tip, we elucidate the cytoarchitecture of the mouse brain, monitor molecular alterations caused by traumatic brain injury, as well as detect markers of brain metastasis with high accuracy. We view our approach, which introduces a deep learning algorithm to suppress probe background, as a promising complement to the existing palette of tools for the optical interrogation of neural function, with application to fundamental and preclinical investigations of the brain and other organs.
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Registered trials
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