Dictionary-enhanced imaging cytometry
Dictionary-enhanced imaging cytometry
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DOI：
10.1038/srep43148
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发表时间：
2017-02-22
影响因子：
4.6
通讯作者：
Schonbrun, Ethan
中科院分区：
文献类型：
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作者：
Orth, Antony;Schaak, Diane;Schonbrun, Ethan
最先进的高通量显微镜现在能够以惊人的速度记录图像数据，在几分钟内成像整个显微镜载玻片。在本文中，我们研究了如何使用大图像集来执行自动细胞分类和去噪。为此，我们获得了一个由超过25万个白细胞（WBC）细胞核组成的图片库，以及每个细胞的CD15/CD16蛋白表达。我们发现，即使在存在明显的成像噪声的情况下，WBC核图像也可以单独用于复制基于CD表达的门控。我们还证明了白细胞图像的准确估计可以从极其嘈杂的图像中恢复，通过与参考字典进行比较。当样品属于高度受限的类别，例如已被充分研究的细胞类型时，这对剂量受限成像有影响。此外，大型图像库可以赋予显微镜在灵敏度和分辨率方面超出其硬件规格的能力。我们呼吁研究人员聚集常见细胞系的大型图像库来探索这种可能性。
State-of-the-art high-throughput microscopes are now capable of recording image data at a phenomenal rate, imaging entire microscope slides in minutes. In this paper we investigate how a large image set can be used to perform automated cell classification and denoising. To this end, we acquire an image library consisting of over one quarter-million white blood cell (WBC) nuclei together with CD15/CD16 protein expression for each cell. We show that the WBC nucleus images alone can be used to replicate CD expression-based gating, even in the presence of significant imaging noise. We also demonstrate that accurate estimates of white blood cell images can be recovered from extremely noisy images by comparing with a reference dictionary. This has implications for dose-limited imaging when samples belong to a highly restricted class such as a well-studied cell type. Furthermore, large image libraries may endow microscopes with capabilities beyond their hardware specifications in terms of sensitivity and resolution. We call for researchers to crowd source large image libraries of common cell lines to explore this possibility.