Allen Institute for Cell Science, Seattle, WA, USA.
Allen Institute for Brain Science, Seattle, WA, USA.
Nat Methods. 2018 Nov;15(11):917-920. doi: 10.1038/s41592-018-0111-2. Epub 2018 Sep 17.
Understanding cells as integrated systems is central to modern biology. Although fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, is slow, and can damage cells. We present a label-free method for predicting three-dimensional fluorescence directly from transmitted-light images and demonstrate that it can be used to generate multi-structure, integrated images. The method can also predict immunofluorescence (IF) from electron micrograph (EM) inputs, extending the potential applications.
将细胞视为一个集成系统是现代生物学的核心。尽管荧光显微镜可以解析活细胞中的亚细胞结构，但它昂贵、缓慢，并且可能会对细胞造成损伤。我们提出了一种无标记的方法，可以直接从透射光图像预测三维荧光，并证明它可以用于生成多结构、集成的图像。该方法还可以从电子显微镜输入预测免疫荧光（IF），从而扩展了潜在的应用。
