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Fast and accurate sCMOS noise correction for fluorescence microscopy.

Abstract：

:The rapid development of scientific CMOS (sCMOS) technology has greatly advanced optical microscopy for biomedical research with superior sensitivity, resolution, field-of-view, and frame rates. However, for sCMOS sensors, the parallel charge-voltage conversion and different responsivity at each pixel induces extra readout and pattern noise compared to charge-coupled devices (CCD) and electron-multiplying CCD (EM-CCD) sensors. This can produce artifacts, deteriorate imaging capability, and hinder quantification of fluorescent signals, thereby compromising strategies to reduce photo-damage to live samples. Here, we propose a content-adaptive algorithm for the automatic correction of sCMOS-related noise (ACsN) for fluorescence microscopy. ACsN combines camera physics and layered sparse filtering to significantly reduce the most relevant noise sources in a sCMOS sensor while preserving the fine details of the signal. The method improves the camera performance, enabling fast, low-light and quantitative optical microscopy with video-rate denoising for a broad range of imaging conditions and modalities.

journal_name

Nat Commun

journal_title

Nature communications

authors

Mandracchia B,Hua X,Guo C,Son J,Urner T,Jia S

doi

10.1038/s41467-019-13841-8

subject

Has Abstract

pub_date

2020-01-03 00:00:00

pages

94

issue

1

issn

2041-1723

pii

10.1038/s41467-019-13841-8

journal_volume

11

pub_type

杂志文章

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