ArticleProceedings of the National Academy of Sciences of the United States of America2020
Label-free optical detection of bioelectric potentials using electrochromic thin films.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 39 citations in OpenAlex.
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- Ultrasensitive label-free optical recording of bioelectric potentials using dioxythiophene-based electrochromic polymers.Nature communications · 2025Article
- Trionic All-optical Biological Voltage Sensing via Quantum Statistics.Nature photonics · 2025Article
- Innovating beyond electrophysiology through multimodal neural interfaces.Nature reviews electrical engineering · 2025Article
- Organic electro-scattering antenna: Wireless and multisite probing of electrical potentials with high spatial resolution.Science advances · 2024Article
- Deep Learning Enhanced Label-Free Action Potential Detection Using Plasmonic-Based Electrochemical Impedance Microscopy.Analytical chemistry · 2024Article
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- Elucidating Design Rules toward Enhanced Solid-State Charge Transport in Oligoether-Functionalized Dioxythiophene-Based Alternating Copolymers.ACS applied materials & interfaces · 2023Article
- Multifunctional Biosensing Platform Based on Nickel-Modified Laser-Induced Graphene.Bioengineering (Basel, Switzerland) · 2023Article
- Dual-Color Optical Recording of Bioelectric Potentials by Polymer Electrochromism.Journal of the American Chemical Society · 2022Article
- Recent Developments and Implementations of Conductive Polymer-Based Flexible Devices in Sensing Applications.Polymers · 2022Review
- Bioinspired two-in-one nanotransistor sensor for the simultaneous measurements of electrical and mechanical cellular responses.Science advances · 2022Article
- Article
- Review
- Advances in Cell-Conductive Polymer Biointerfaces and Role of the Plasma Membrane.Chemical reviews · 2022Article
- Nanotechnology Enables Novel Modalities for Neuromodulation.Advanced materials (Deerfield Beach, Fla.) · 2021Review
- Electro-Optical Biosensor Based on Embedded Double-Monolayer of Graphene Capacitor in Polymer Technology.Polymers · 2021Article
- Optical Electrophysiology: Toward the Goal of Label-Free Voltage Imaging.Journal of the American Chemical Society · 2021Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Understanding how a network of interconnected neurons receives, stores, and processes information in the human brain is one of the outstanding scientific challenges of our time. The ability to reliably detect neuroelectric activities is essential to addressing this challenge. Optical recording using voltage-sensitive fluorescent probes has provided unprecedented flexibility for choosing regions of interest in recording neuronal activities. However, when recording at a high frame rate such as 500 to 1,000 Hz, fluorescence-based voltage sensors often suffer from photobleaching and phototoxicity, which limit the recording duration. Here, we report an approach called electrochromic optical recording (ECORE) that achieves label-free optical recording of spontaneous neuroelectrical activities. ECORE utilizes the electrochromism of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) thin films, whose optical absorption can be modulated by an applied voltage. Being based on optical reflection instead of fluorescence, ECORE offers the flexibility of an optical probe without suffering from photobleaching or phototoxicity. Using ECORE, we optically recorded spontaneous action potentials in cardiomyocytes, cultured hippocampal and dorsal root ganglion neurons, and brain slices. With minimal perturbation to cells, ECORE allows long-term optical recording over multiple days.
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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.