ArticleAnalytical chemistry2020
Structural Similarity Image Analysis for Detection of Adenosine and Dopamine in Fast-Scan Cyclic Voltammetry Color Plots.
Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 32 citations in OpenAlex.
- Shared mechanisms of dopamine and ATP transmission in the nucleus accumbens.bioRxiv : the preprint server for biology · 2026Article
- Machine Learning for Separating Dopamine and Octopamine Electrochemical Signals in Drosophila.Analytical chemistry · 2026Article
- Machine Learning for Neurotransmitter Monitoring by Fast Voltammetry: Current and Future Prospects.ACS chemical neuroscience · 2026Review
- Multiplexing FSCV and iGluSnFR3 Sensors Reveals Adenosine Transiently Inhibits Stimulated Dopamine and Glutamate Release.Journal of neurochemistry · 2025Article
- SeroWare: An Open-Source Software Suite for Voltammetry Data Acquisition and Analysis.ACS chemical neuroscience · 2025Article
- Dual-Channel Electrochemical Measurements Reveal Rapid Adenosine is Localized in Brain Slices.ACS chemical neuroscience · 2022Article
- Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index.Biosensors · 2021Article
- Spontaneous Adenosine and Dopamine Cotransmission in the Caudate-Putamen Is Regulated by Adenosine Receptors.ACS chemical neuroscience · 2021Article
- Spontaneous, transient adenosine release is not enhanced in the CA1 region of hippocampus during severe ischemia models.Journal of neurochemistry · 2021Article
- Recent Advances in In Vivo Neurochemical Monitoring.Micromachines · 2021Review
- Next-Generation Diamond Electrodes for Neurochemical Sensing: Challenges and Opportunities.Micromachines · 2021Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Fast-scan cyclic voltammetry (FSCV) is widely used for in vivo detection of neurotransmitters, but identifying analytes, particularly mixtures, is difficult. Data analysis has focused on identifying dopamine from cyclic voltammograms, but it would be better to analyze all the data in the three-dimensional FSCV color plot. Here, the goal was to use image analysis-based analysis of FSCV color plots for the first time, specifically the structural similarity index (SSIM), to identify rapid neurochemical events. Initially, we focused on identifying spontaneous adenosine events, as adenosine cyclic voltammograms have a primary oxidation at 1.3 V and a secondary oxidation peak that grows in over time. Using SSIM, sample FSCV color plots were compared with reference color plots, and the SSIM cutoff score was optimized to distinguish adenosine. High-pass digital filtering was also applied to remove the background drift and lower the noise, which produced a better LOD. The SSIM algorithm detected more adenosine events than a previous algorithm based on current versus time traces, with 99.5 ± 0.6% precision, 95 ± 3% recall, and 97 ± 2% F
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Registered trials
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