University Roma Tre, Department of Engineering, via Vito Volterra 62, Rome, 00146, Italy.
University Politehnica of Bucharest, Center for Microscopy-Microanalysis and Information Processing, 313 Splaiul Independentei, Bucharest,060042, Romania.
Gigascience. 2020 Nov 24;9(11). doi: 10.1093/gigascience/giaa129.
In recent years, a variety of imaging techniques operating at nanoscale resolution have been reported. These techniques have the potential to enrich our understanding of bacterial species relevant to human health, such as antibiotic-resistant pathogens. However, owing to the novelty of these techniques, their use is still confined to addressing very particular applications, and their availability is limited owing to associated costs and required expertise. Among these, scattering-type scanning near field optical microscopy (s-SNOM) has been demonstrated as a powerful tool for exploring important optical properties at nanoscale resolution, depending only on the size of a sharp tip. Despite its huge potential to resolve aspects that cannot be tackled otherwise, the penetration of s-SNOM into the life sciences is still proceeding at a slow pace for the aforementioned reasons.
In this work we introduce SSNOMBACTER, a set of s-SNOM images collected on 15 bacterial species. These come accompanied by registered Atomic Force Microscopy images, which are useful for placing nanoscale optical information in a relevant topographic context.
The proposed dataset aims to augment the popularity of s-SNOM and for accelerating its penetration in life sciences. Furthermore, we consider this dataset to be useful for the development and benchmarking of image analysis tools dedicated to s-SNOM imaging, which are scarce, despite the high need. In this latter context we discuss a series of image processing and analysis applications where SSNOMBACTER could be of help.
近年来,多种操作在纳米尺度分辨率的成像技术被报道。这些技术有可能丰富我们对与人类健康相关的细菌种类的理解,如抗生素耐药性病原体。然而,由于这些技术的新颖性,它们的使用仍然局限于解决非常特殊的应用,并且由于相关成本和所需的专业知识,它们的可用性受到限制。在这些技术中,散射型扫描近场光学显微镜(s-SNOM)已被证明是一种强大的工具,可用于探索纳米尺度分辨率下的重要光学性质,而仅取决于一个尖锐尖端的大小。尽管它具有解决其他方法无法解决的方面的巨大潜力,但由于上述原因,s-SNOM 进入生命科学的速度仍然很慢。
在这项工作中,我们引入了 SSNOMBACTER,这是一组在 15 种细菌上收集的 s-SNOM 图像。这些图像附有注册的原子力显微镜图像,这对于将纳米尺度的光学信息置于相关的地形背景中非常有用。
提出的数据集旨在增加 s-SNOM 的普及度,并加速其在生命科学中的应用。此外,我们认为该数据集对于开发和基准测试专门用于 s-SNOM 成像的图像分析工具非常有用,尽管需求很高,但这些工具却很稀缺。在后一种情况下,我们讨论了一系列图像处理和分析应用,其中 SSNOMBACTER 可能会有所帮助。