Brown Mollie, Foylan Shannan, Rooney Liam M, Gould Gwyn W, McConnell Gail
University of Strathclyde, Department of Physics, Glasgow, United Kingdom.
University of Strathclyde, Strathclyde Institute of Pharmacy and Biomedical Sciences, Glasgow, United Kingdom.
J Biomed Opt. 2024 Dec;29(12):126502. doi: 10.1117/1.JBO.29.12.126502. Epub 2024 Dec 24.
Current super-resolution imaging techniques allow for a greater understanding of cellular structures; however, they are often complex or only have the ability to image a few cells at once. This small field of view (FOV) may not represent the behavior across the entire sample, and manual selection of regions of interest (ROIs) may introduce bias. It is possible to stitch and tile many small ROIs; however, this can result in artifacts across an image.
The aim is to achieve accurate super-resolved images across a large FOV ( ).
We have applied super-resolution radial fluctuations processing in conjunction with the Mesolens, which has the unusual combination of a low-magnification and high numerical aperture, to obtain super-resolved images.
We demonstrate it is possible to achieve images with a resolution of , providing a -fold improvement in spatial resolution, over an FOV of , with minimal error, and consistent structural agreement.
We provide a simple method for obtaining accurate super-resolution images over a large FOV, allowing for a simultaneous understanding of both subcellular structures and their large-scale interactions.
当前的超分辨率成像技术有助于更深入地了解细胞结构；然而，这些技术往往较为复杂，或者一次只能对少数细胞进行成像。这种小视野（FOV）可能无法代表整个样本的行为，并且手动选择感兴趣区域（ROI）可能会引入偏差。可以拼接和平铺许多小的ROI；但是，这可能会在图像上产生伪影。
目的是在大视野（ ）范围内获得准确的超分辨率图像。
我们将超分辨率径向波动处理与具有低放大倍数和高数值孔径这一不同寻常组合的中透镜相结合，以获得超分辨率图像。
我们证明，在 的视野范围内，能够获得分辨率为 的图像，空间分辨率提高了 倍，误差最小，且结构一致性良好。
我们提供了一种在大视野范围内获取准确超分辨率图像的简单方法，从而能够同时了解亚细胞结构及其大规模相互作用。
