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.

Shared by NobleBlocks on Oct 1, 2023 • 12:00 AM UTC

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...

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