ArticleNeuron2026
Simultaneous, real-time tracking of many neuromodulatory signals with multiplexed optical recording of sensors on a micro-endoscope.
Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Spatiotemporally dynamic noradrenergic regulation of cortical networks.bioRxiv : the preprint server for biology · 2026Article
- Mapping and decoding neuropeptide signaling networks in nervous system function.Current opinion in neurobiology · 2025Review
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24 authors.
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Abstract
Dozens of extracellular molecules jointly impact a given brain cell, yet we lack methods to simultaneously record many such signals in real time. We developed a probe to track ten or more neuropeptide and neuromodulator concentrations using spatial multiplexing of genetically encoded fluorescent sensors. Cultured cells, each expressing one sensor type, are immobilized at the front of a gradient refractive index lens for 3D two-photon imaging in vitro and in vivo. The sensor identity and detection sensitivity of each cell are determined via robotic dipping of the probe into wells containing various ligands and concentrations. Using this probe, we detected stimulation-evoked release of multiple neuromodulators in acute brain slices. We also tracked endogenous and drug-evoked changes in cerebrospinal fluid composition in the awake mouse lateral ventricle, which triggered activation of the choroid plexus epithelium. Our method introduces a new approach to quantitative, real-time, high-dimensional tracking of brain extracellular fluid composition.
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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.