Fast and accurate sCMOS noise correction for fluorescence microscopy
In: Nature Communications, Jg. 11 (2020), Heft 1, S. 1-12
Online
unknown
Zugriff:
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.
Scientific complementary metal-oxide semiconductor (sCMOS) cameras have advanced the imaging field, but they often suffer from additional noise compared to CCD sensors. Here the authors present a content-adaptive algorithm for the automatic correction of sCMOS-related noise for fluorescence microscopy.
Titel: |
Fast and accurate sCMOS noise correction for fluorescence microscopy
|
---|---|
Autor/in / Beteiligte Person: | Mandracchia, Biagio ; Urner, Tara ; Guo, Changliang ; Son, Jeonghwan ; Jia, Shu ; Hua, Xuanwen |
Link: | |
Zeitschrift: | Nature Communications, Jg. 11 (2020), Heft 1, S. 1-12 |
Veröffentlichung: | Springer Science and Business Media LLC, 2020 |
Medientyp: | unknown |
ISSN: | 2041-1723 (print) |
DOI: | 10.1038/s41467-019-13841-8 |
Schlagwort: |
|
Sonstiges: |
|