Statistically unbiased prediction enables accurate denoising of voltage imaging data

Eom, Minho; Han, Seungjae; Park, Pojeong; Kim, Gyuri; Cho, Eun‐Seo; Sim, Jueun; Lee, Kang‐Han; Kim, Seonghoon; Tian, He; L. Böhm, Urs; Lowet, Eric; Tseng, Hua-an; Choi, Jieun; Edwina Lucia, Stephani; Hyun Ryu, Seung; Rózsa, Márton; Chang, Sunghoe; Kim, Pilhan; Han, Xue; D. Piatkevich, Kiryl; Choi, Myunghwan; Kim, Cheol‐Hee; E. Cohen, Adam; Chang, Jae‐Byum; Yoon, Young‐Gyu

doi:10.1038/s41592-023-02005-8

Public

Statistically unbiased prediction enables accurate denoising of voltage imaging data

Published in Nature Methods • Sep 18, 2023

Authors:

Minho Eom

Seungjae Han

Pojeong Park

Abstract

Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pixel value in voltage imaging data is highly depende...

Subject

Computer science

Artificial intelligence

Pixel

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