Correction of CMOS-related noise in fluorescence microscopy
In: Frontiers in Optics / Laser Science, 2020
Online
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Zugriff:
CMOS cameras are very appealing for fluorescence microscopy but they suffer from high readout noise and fixed-pattern noise. We propose a non-iterative, fast, and unsupervised algorithm that erases camera-related noise without losing the quantitative information of fluorescence signal. Finally, we demonstrate the performance of the algorithm using different sensors, from low-cost CMOS chips to high-end sCMOS cameras.
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Correction of CMOS-related noise in fluorescence microscopy
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Autor/in / Beteiligte Person: | Son, Jeonghwan ; Urner, Tara ; Guo, Changliang ; Hua, Xuanwen ; Mandracchia, Biagio ; Jia, Shu |
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Zeitschrift: | Frontiers in Optics / Laser Science, 2020 |
Veröffentlichung: | Optica Publishing Group, 2020 |
Medientyp: | unknown |
DOI: | 10.1364/fio.2020.jm6b.19 |
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