Fast and accurate sCMOS noise correction for fluorescence microscopy
Fast and accurate sCMOS noise correction for fluorescence microscopy
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DOI：
10.1038/s41467-019-13841-8
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发表时间：
2020-01-03
影响因子：
16.6
通讯作者：
Jia, Shu
中科院分区：
文献类型：
--
作者：
Mandracchia, Biagio;Hua, Xuanwen;Jia, Shu
科学CMOS （sCMOS）技术的快速发展极大地推动了用于生物医学研究的光学显微镜具有卓越的灵敏度，分辨率，视场和帧速率。然而，对于sCMOS传感器，与电荷耦合器件（CCD）和电子倍增CCD （EM-CCD）传感器相比，每个像素处的平行电荷电压转换和不同的响应性会产生额外的读出和图案噪声。这可能会产生伪影，降低成像能力，并阻碍荧光信号的量化，从而影响减少对活样品的光损伤的策略。在这里，我们提出了一种内容自适应算法，用于荧光显微镜的scmos相关噪声（ACsN）的自动校正。ACsN结合了相机物理和分层稀疏滤波，以显着降低sCMOS传感器中最相关的噪声源，同时保留信号的精细细节。该方法提高了相机性能，使快速、低光和定量光学显微镜具有视频速率去噪，适用于广泛的成像条件和模式。
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.