Robust self-supervised denoising of voltage imaging data using CellMincer

Robust self-supervised denoising of voltage imaging data using CellMincer

Abstract Voltage imaging is a powerful technique for studying neuronal activity, but its effectiveness is often constrained by low signal-to-noise ratios (SNR). Traditional denoising methods, such as matrix factorization, impose rigid assumptions about noise and signal structures, while existing dee...

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Bibliographic Details
Main Authors: Brice Wang, Tianle Ma, Theresa Chen, Trinh Nguyen, Ethan Crouse, Stephen J. Fleming, Alison S. Walker, Vera Valakh, Ralda Nehme, Evan W. Miller, Samouil L. Farhi, Mehrtash Babadi
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:npj Imaging
Online Access:https://doi.org/10.1038/s44303-024-00055-x
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https://doi.org/10.1038/s44303-024-00055-x

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