ELM: super-resolution analysis of wide-field images of fluorescent shell structures.
ELM: super-resolution analysis of wide-field images of fluorescent shell structures.
复制标题
ELM：荧光壳结构的宽视场图像的超分辨率分析。
DOI：
10.1088/2050-6120/aac28e
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发表时间：
2018
影响因子：
3.2
通讯作者：
Manton JD
中科院分区：
文献类型：
--
作者：
Manton JD
在生物学研究中，常常需要精确地量化标本的大小。在荧光显微镜中测量特征尺寸时，如果特征小于分辨率的衍射极限，则可能由于其边缘模糊而产生显着偏差。如果描述特征的整个图像的方程适合其图像数据，则可以避免此问题。在本文中，我们介绍了开源软件ELM，它使用这种方法来测量球形或圆柱形荧光壳的尺寸，精度约为10纳米。这已被用于测量细菌孢子的外壳蛋白位置和营养杆菌的细胞壁直径，也可能在藻类、真菌和病毒的微生物学研究中有价值。ELM可从https://github下载。com/quantitativeimaging/ELM。
It is often necessary to precisely quantify the size of specimens in biological studies. When measuring feature size in fluorescence microscopy, significant biases can arise due to blurring of its edges if the feature is smaller than the diffraction limit of resolution. This problem is avoided if an equation describing the feature's entire image is fitted to its image data. In this paper we present open-source software, ELM, which uses this approach to measure the size of spheroidal or cylindrical fluorescent shells with a precision of around 10 nm. This has been used to measure coat protein locations in bacterial spores and cell wall diameter in vegetative bacilli, and may also be valuable in microbiological studies of algae, fungi and viruses. ELM is available for download at https://github. com/quantitativeimaging/ELM.